diff --git a/CHANGELOG.md b/CHANGELOG.md
index aee0743fd4..88463c21be 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -17,6 +17,10 @@ The types of changes are:
 
 ## [Unreleased](https://github.com/ethyca/fides/compare/2.4.0...main)
 
+### Docs
+
+* Update the docs landing page and remove redundant docs [#2184](https://github.com/ethyca/fides/pull/2184)
+
 ### Added
 
 * Added the connection key to the execution log [#2100](https://github.com/ethyca/fides/pull/2100)
@@ -148,7 +152,6 @@ The types of changes are:
 
 * Remove duplicate fastapi-caching and pin version. [#1765](https://github.com/ethyca/fides/pull/1765)
 
-
 ## [2.2.0](https://github.com/ethyca/fides/compare/2.1.0...2.2.0)
 
 ### Added
@@ -231,7 +234,6 @@ The types of changes are:
 
 * Bumped versions of packages that use OpenSSL [#1683](https://github.com/ethyca/fides/pull/1683)
 
-
 ## [2.0.0](https://github.com/ethyca/fides/compare/1.9.6...2.0.0)
 
 ### Added
diff --git a/docs/README.md b/docs/README.md
index 54b3cd9560..148ede534e 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -1,3 +1,5 @@
 # Fides Docs
 
-This is where the docs site for Fides lives. To run the docs locally, use `nox -s docs_serve` and visit `localhost:8000`
+This is where the autogenerated docs for Fides lives. To run the docs locally, use `nox -s docs_serve` and visit `localhost:8000`
+
+The full, official docs live at https://docs.ethyca.com/fides/overview
diff --git a/docs/fides/docs/api/index.md b/docs/fides/docs/api/index.md
index 5d75f69aff..bdd73de89b 100644
--- a/docs/fides/docs/api/index.md
+++ b/docs/fides/docs/api/index.md
@@ -1,18 +1,17 @@
 # API Reference
 
 You can view the live, interactive [Swagger](https://swagger.io/docs/) API docs for Fides by visiting `/docs` on a running instance. This is a great way to experiment with the APIs using Swagger's built-in "Try it out" functionality.
-Additionally, you can download the [Postman collection](../development/postman/Fides.postman_collection.json) and [follow instructions](../development/postman/using_postman.md) to set up on your machine.
 
 Below, we've embedded the latest release's API documentation as a living reference. These work largely the same, but since this documentation site isn't connected to a live instance, the "Try it out" and "Authorize" buttons won't work, sorry!
 
-All API routes will automatically match with and without a trailing slash `/`. So `/api/v1/config` and `/api/v1/config/` are both valid API calls.
+All API routes will automatically matched with and without a trailing slash `/`. So `/api/v1/config` and `/api/v1/config/` are both valid API calls.
 
 ---
 
 !!swagger openapi.json!!
 
 <script>
-    /* If there is an anchor tag, reload it after the page loads to scroll to
+    /*If there is an anchor tag, reload it after the page loads to scroll to
      * that section, since the Swagger UI takes some time to render. */
     if (location.hash) {
         setTimeout(function() {
diff --git a/docs/fides/docs/cicd.md b/docs/fides/docs/cicd.md
deleted file mode 100644
index 2b26d24e49..0000000000
--- a/docs/fides/docs/cicd.md
+++ /dev/null
@@ -1,215 +0,0 @@
-# CI/CD Overview
-
-Fides provides a CLI for integrating with your existing CI pipeline configurations. These commands are designed to help evaluate code changes against defined Fides [Policies](./guides/policies.md), and flag developers in advance if any updates or merges are no longer in compliance.
-## Implementation
-To integrate Fides with your CI pipeline, you should plan to implement at least two commands in your CI actions:
-
-1. `fides evaluate --dry <resource_dir>`
-    - `evaluate --dry` checks if code changes will be accepted **without** pushing those changes to the Fides server.
-    - Run this against the latest commit on code changesets (pull requests, merge requests, etc).
-2. `fides evaluate <resource_dir>`
-    - `evaluate` synchronizes the latest changes to the Fides server.
-    - Run this against commits representing merges into the default branch to keep your server in sync.
-
-## Example Integrations
-
-The following code snippets are meant as simple example implementations, and illustrate Fides can integrate with various popular CI pipeline tools. They are not designed for immediate production use.
-
-!!! Tip "Always inspect, understand, and test your production CI configuration files."
-
-### GitHub Actions
-
-```yaml title="<code>.github/workflows/fides_ci.yml</code>"
-name: Fides CI
-
-# Only check on Pull Requests that target main
-on:
-  pull_request:
-    branches:
-      - main
-    paths: # Only run checks when the resource files change or the workflow file changes
-      - .fides/**
-      - .github/workflows/fides_ci.yml
-
-jobs:
-  fides_ci:
-    runs-on: ubuntu-latest
-    container:
-      image: ethyca/fides:latest
-    steps:
-      - name: Dry Evaluation
-        uses: actions/checkout@v2
-        run: fides evaluate --dry .fides/
-        env:
-          FIDES__CLI__SERVER_HOST: "fides.privacyco.com"
-```
-
-```yaml title="<code>.github/workflows/fides_cd.yml</code>"
-name: Fides CD
-
-# Run the check every time a new commit hits the default branch
-on:
-  push:
-    branches:
-      - main
-    tags:
-      - "*"
-
-jobs:
-  fides_cd:
-    runs-on: ubuntu-latest
-    container:
-      image: ethyca/fides:latest
-    steps:
-      - name: Evaluation
-        uses: actions/checkout@v2
-        run: fides evaluate .fides/
-        env:
-          FIDES__CLI__SERVER_HOST: "fides.privacyco.com"
-```
-___
-### GitLab CI
-
-```yaml title="<code>.gitlab-ci.yml</code>"
-stages:
-  - test
-  - deploy
-
-variables: &global-variables
-  FIDES__CLI__SERVER_HOST: "fides.privacyco.com"
-
-fides-ci:
-  stage: test
-  image: ethyca/fides
-  script: fides evaluate --dry .fides/
-  only:
-    if: '$CI_PIPELINE_SOURCE = merge_request_event'
-    changes:
-      - .fides/**
-      - .gitlab-ci.yml
-  variables:
-    <<: *global-variables
-
-fides-cd:
-  stage: deploy
-  image: ethyca/fides
-  script: fides evaluate .fides/
-  if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH'
-  variables:
-    <<: *global-variables
-```
-___
-### Jenkins
-
-```groovy title="<code>Jenkinsfile</code> (Declarative Syntax)"
-pipeline {
-  agent {
-    docker {
-      image 'ethyca/fides:latest'
-    }
-  }
-  stages {
-    stage('test'){
-      environment {
-          FIDES__CLI__SERVER_HOST: 'fides.privacyco.com'
-      }
-      steps {
-        sh 'fides evaluate --dry .fides/'
-      }
-      when {
-        anyOf {
-          changeset '.fides/**'
-          changeset 'Jenkinsfile'
-        }
-        changeRequest()
-      }
-    }
-    stage('deploy') {
-      environment {
-          FIDES__CLI__SERVER_HOST: 'fides.privacyco.com'
-      }
-      steps {
-        sh 'fides evaluate .fides/'
-      }
-      when {
-        branch 'main'
-      }
-    }
-  }
-}
-```
-___
-### CircleCI
-
-```yaml title="<code>.circleci/config.yml</code>"
-version: 2.1
-
-executors:
-  fides:
-    docker:
-      - image: ethyca/fides:latest
-        environment:
-          FIDES__CLI__SERVER_HOST: 'fides.privacyco.com'
-
-jobs:
-  fides-evaluate-dry:
-    executor: fides
-    steps:
-      - run: fides evaluate --dry .fides/
-
-  fides-evaluate:
-    executor: fides
-    steps:
-      - run: fides evaluate .fides/
-
-workflows:
-  version: 2
-  test:
-    jobs:
-      - fides-evaluate-dry:
-          filters:
-            branches:
-              ignore: main
-
-  deploy:
-    jobs:
-      - fides-evaluate:
-          filters:
-            branches:
-              only: main
-```
-
-### Azure Pipelines
-
-```yaml title="<code>.azure-pipelines.yml</code>"
-# Trigger a dry run of the evaluate job on pull requests that target main
-pr:
-  - main
-
-jobs:
-  - job: "fides_evaluate_dry"
-    pool:
-      vmImage: ubuntu-latest
-    container:
-      image: ethyca/fides:latest
-    steps:
-      - checkout: self
-      - script: fides evaluate --dry .fides/
-        displayName: "Fides Dry Evaluation"
-
-
-# Trigger the evaluate job on commits to the default branch
-trigger: 
-  - main
-
-jobs:
-  - job: "fides_evaluate"
-    pool:
-      vmImage: ubuntu-latest
-    container:
-      image: ethyca/fides:latest
-    steps:
-      - checkout: self
-      - script: fides evaluate .fides/
-        displayName: "Fides Evaluation"
-```
diff --git a/docs/fides/docs/csv/data_categories.csv b/docs/fides/docs/csv/data_categories.csv
deleted file mode 100644
index b005d4dab1..0000000000
--- a/docs/fides/docs/csv/data_categories.csv
+++ /dev/null
@@ -1,79 +0,0 @@
-fides_key,name,parent_key,description
-data_category,Data Category,,
-account,Account Data,data_category,Data related to a system account.
-account.contact,Account Contact Data,account,Contact data related to a system account.
-account.contact.city,Account City,account.contact,Account's city level address data.
-account.contact.country,Account Country,account.contact,Account's country level address data.
-account.contact.email,Account Email,account.contact,Account's email address.
-account.contact.phone_number,Account Phone Number,account.contact,Account's phone number.
-account.contact.postal_code,Account Postal Code,account.contact,Account's postal code.
-account.contact.state,Account State,account.contact,Account's state level address data.
-account.contact.street,Account Street,account.contact,Account's street level address.
-account.payment,Payment Data,account,Payment data related to system account.
-account.payment.financial_account_number,Account Payment Financial Account Number,account.payment,"Financial account number for an account's payment card, bank account, or other financial system."
-system,System Data,data_category,"Data unique to, and under control of the system."
-system.authentication,Authentication Data,system,Data used to manage access to the system.
-system.operations,Operations Data,system,Data used for system operations.
-user,User Data,data_category,"Data related to the user of the system, either provided directly or derived based on their usage."
-user.derived,Derived Data,user,Data derived from user provided data or as a result of user actions in the system.
-user.derived.identifiable,Derived User Identifiable Data,user.derived,"Derived data that is linked to, or identifies a user."
-user.derived.identifiable.biometric_health,Biometric Health Data,user.derived.identifiable,Encoded characteristic collected about a user.
-user.derived.identifiable.browsing_history,Browsing History,user.derived.identifiable,Content browsing history of a user.
-user.derived.identifiable.demographic,Demographic Data,user.derived.identifiable,Demographic data about a user.
-user.derived.identifiable.contact,Derived Contact Data,user.derived.identifiable,Contact data collected about a user.
-user.derived.identifiable.device,Device Data,user.derived.identifiable,"Data related to a user's device, configuration and setting."
-user.derived.identifiable.device.cookie_id,Cookie ID,user.derived.identifiable.device,Cookie unique identification number.
-user.derived.identifiable.device.device_id,Device ID,user.derived.identifiable.device,Device unique identification number.
-user.derived.identifiable.device.ip_address,IP Address,user.derived.identifiable.device,Unique identifier related to device connection.
-user.derived.identifiable.gender,Derived Gender,user.derived.identifiable,Gender of an individual.
-user.derived.identifiable.location,Location Data,user.derived.identifiable,Records of the location of a user.
-user.derived.identifiable.media_consumption,Media Consumption Data,user.derived.identifiable,Media type consumption data of a user.
-user.derived.identifiable.non_specific_age,Derived Non-Specific Age,user.derived.identifiable,Age range data.
-user.derived.identifiable.observed,Observed Data,user.derived.identifiable,Data collected through observation of use of the system.
-user.derived.identifiable.profiling,Profiling Data,user.derived.identifiable,Preference and interest data about a user.
-user.derived.identifiable.race,Derived Race,user.derived.identifiable,Racial or ethnic origin data.
-user.derived.identifiable.religious_belief,Derived Religious Belief,user.derived.identifiable,Religion or religious belief.
-user.derived.identifiable.search_history,Search History,user.derived.identifiable,Records of search history and queries of a user.
-user.derived.identifiable.sexual_orientation,Derived Sexual Orientation,user.derived.identifiable,Personal sex life or sexual data.
-user.derived.identifiable.social,Social Data,user.derived.identifiable,Social activity and interaction data.
-user.derived.identifiable.telemetry,Telemetry Data,user.derived.identifiable,User identifiable measurement data from system sensors and monitoring.
-user.derived.identifiable.unique_id,Unique ID,user.derived.identifiable,Unique identifier for a user assigned through system use.
-user.derived.identifiable.user_sensor,User Sensor Data,user.derived.identifiable,Measurement data derived about a user's environment through system use.
-user.derived.identifiable.organization,Organization Identifiable Data,user.derived.identifiable,"Derived data that is linked to, or identifies an organization."
-user.derived.identifiable.workplace,Derived Workplace,user.derived.identifiable,Organization of employment.
-user.derived.nonidentifiable,Derived User Non-Identifiable Data,user.derived,Non-user identifiable data derived related to a user as a result of user actions in the system.
-user.derived.nonidentifiable.sensor,Sensor Data,user.derived.nonidentifiable,Non-user identifiable measurement data derived from sensors and monitoring systems.
-user.provided,User Provided Data,user,Data provided or created directly by a user of the system.
-user.provided.identifiable,User Provided Identifiable Data,user.provided,Data provided or created directly by a user that is linked to or identifies a user.
-user.provided.identifiable.biometric,Biometric Data,user.provided.identifiable,Encoded characteristics provided by a user.
-user.provided.identifiable.childrens,Children's Data,user.provided.identifiable,Data relating to children.
-user.provided.identifiable.contact,Provided Contact Data,user.provided.identifiable,User provided contact data for purposes other than account management.
-user.provided.identifiable.contact.city,User Provided City,user.provided.identifiable.contact,User's city level address data.
-user.provided.identifiable.contact.country,User Provided Country,user.provided.identifiable.contact,User's country level address data.
-user.provided.identifiable.contact.email,User Provided Email,user.provided.identifiable.contact,User's provided email address.
-user.provided.identifiable.contact.phone_number,User Provided Phone Number,user.provided.identifiable.contact,User's phone number.
-user.provided.identifiable.contact.postal_code,User Provided Postal Code,user.provided.identifiable.contact,User's postal code.
-user.provided.identifiable.contact.state,User Provided State,user.provided.identifiable.contact,User's state level address data.
-user.provided.identifiable.contact.street,User Provided Street,user.provided.identifiable.contact,User's street level address data.
-user.provided.identifiable.credentials,Credentials,user.provided.identifiable,User provided authentication data.
-user.provided.identifiable.credentials.biometric_credentials,Biometric Credentials,user.provided.identifiable.credentials,Credentials for system authentication.
-user.provided.identifiable.credentials.password,Password,user.provided.identifiable.credentials,Password for system authentication.
-user.provided.identifiable.date_of_birth,Date of Birth,user.provided.identifiable,User's date of birth.
-user.provided.identifiable.financial,Financial Data,user.provided.identifiable,Payment data and financial history.
-user.provided.identifiable.financial.account_number,User Provided Financial Account Number,user.provided.identifiable.financial,"User's account number for a payment card, bank account, or other financial system."
-user.provided.identifiable.gender,User Provided Gender,user.provided.identifiable,Gender of an individual.
-user.provided.identifiable.genetic,Genetic Data,user.provided.identifiable,Data about the genetic makeup provided by a user.
-user.provided.identifiable.government_id,Government ID,user.provided.identifiable,State provided identification data.
-user.provided.identifiable.government_id.drivers_license_number,Driver's License Number,user.provided.identifiable.government_id,State issued driving identification number.
-user.provided.identifiable.government_id.national_identification_number,National Identification Number,user.provided.identifiable.government_id,State issued personal identification number.
-user.provided.identifiable.government_id.passport_number,Passport Number,user.provided.identifiable.government_id,State issued passport data.
-user.provided.identifiable.health_and_medical,Health and Medical Data,user.provided.identifiable,Health records or individual's personal medical information.
-user.provided.identifiable.job_title,Job Title,user.provided.identifiable,Professional data.
-user.provided.identifiable.name,Name,user.provided.identifiable,User's real name.
-user.provided.identifiable.non_specific_age,User Provided Non-Specific Age,user.provided.identifiable,Age range data.
-user.provided.identifiable.political_opinion,Political Opinion,user.provided.identifiable,Data related to the individual's political opinions.
-user.provided.identifiable.race,User Provided Race,user.provided.identifiable,Racial or ethnic origin data.
-user.provided.identifiable.religious_belief,User Provided Religious Belief,user.provided.identifiable,Religion or religious belief.
-user.provided.identifiable.sexual_orientation,User Provided Sexual Orientation,user.provided.identifiable,Personal sex life or sexual data.
-user.provided.identifiable.workplace,User Provided Workplace,user.provided.identifiable,Organization of employment.
-user.provided.nonidentifiable,User Provided Non-Identifiable Data,user.provided,Data provided or created directly by a user that is not identifiable.
diff --git a/docs/fides/docs/csv/data_qualifiers.csv b/docs/fides/docs/csv/data_qualifiers.csv
deleted file mode 100644
index 2934a7b321..0000000000
--- a/docs/fides/docs/csv/data_qualifiers.csv
+++ /dev/null
@@ -1,7 +0,0 @@
-fides_key,name,parent_key,description
-data_qualifier,Data Qualifier,,
-aggregated,Aggregated Data,data_qualifier,Statistical data that does not contain individually identifying information but includes information about groups of individuals that renders individual identification impossible.
-aggregated.anonymized,Anonymized Data,aggregated,Data where all attributes have been sufficiently altered that the individaul cannot be reidentified by this data or in combination with other datasets.
-aggregated.anonymized.unlinked_pseudonymized,Unlinked Pseudonymized Data,aggregated.anonymized,"Data for which all identifiers have been substituted with unrelated values and linkages broken such that it may not be reversed, even by the party that performed the pseudonymization."
-aggregated.anonymized.unlinked_pseudonymized.pseudonymized,Pseudonymized Data,aggregated.anonymized.unlinked_pseudonymized,"Data for which all identifiers have been substituted with unrelated values, rendering the individual unidentifiable and cannot be reasonably reversed other than by the party that performed the pseudonymization."
-aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified,Identified Data,aggregated.anonymized.unlinked_pseudonymized.pseudonymized,Data that directly identifies an individual.
\ No newline at end of file
diff --git a/docs/fides/docs/csv/data_subjects.csv b/docs/fides/docs/csv/data_subjects.csv
deleted file mode 100644
index 6416ad6d2f..0000000000
--- a/docs/fides/docs/csv/data_subjects.csv
+++ /dev/null
@@ -1,17 +0,0 @@
-fides_key,name,parent_key,description
-data_subject,Data Subject,,
-anonymous_user,Anonymous User,data_subject,An individual that is unidentifiable to the systems. Note - This should only be applied to truly anonymous users where there is no risk of re-identification
-citizen_voter,Citizen Voter,data_subject,An individual registered to voter with a state or authority.
-commuter,Commuter,data_subject,An individual that is traveling or transiting in the context of location tracking.
-consultant,Consultant,data_subject,An individual employed in a consultative/temporary capacity by the organization.
-customer,Custom,data_subject,An individual or other organization that purchases goods or services from the organization.
-employee,Employee,data_subject,An individual employed by the organization.
-job_applicant,Job Applicant,data_subject,An individual applying for employment to the organization.
-next_of_kin,Next of Kin,data_subject,A relative of any other individual subject where such a relationship is known.
-passenger,Passenger,data_subject,An individual traveling on some means of provided transport.
-patient,Patient,data_subject,An individual identified for the purposes of any medical care.
-prospect,Prospect,data_subject,An individual or organization to whom an organization is selling goods or services.
-shareholder,Shareholder,data_subject,An individual or organization that holds equity in the organization.
-supplier_vendor,Supplier/Vendor,data_subject,An individual or organization that provides services or goods to the organization.
-trainee,Trainee,data_subject,An individual undergoing training by the organization.
-visitor,Visitor,data_subject,An individual visiting a location.
diff --git a/docs/fides/docs/csv/data_uses.csv b/docs/fides/docs/csv/data_uses.csv
deleted file mode 100644
index 29e20a3a9b..0000000000
--- a/docs/fides/docs/csv/data_uses.csv
+++ /dev/null
@@ -1,25 +0,0 @@
-fides_key,name,parent_key,description
-data_use,Data Use,,
-provide,Provide the capability,data_use,"Provide, give, or make available the product, service, application or system."
-provide.system,System,provide,"The source system, product, service or application being provided to the user."
-provide.system.operations,System Operations,provide.system,Use of specified data categories to operate and protect the system in order to provide the service.
-provide.system.operations.support,Operations Support,provide.system.operations,Use of specified data categories to provide support for operation and protection of the system in order to provide the service.
-provide.system.operations.support.optimization,Support Optimization,provide.system.operations.support,Use of specified data categories to optimize and improve support operations in order to provide the service.
-provide.system.upgrades,Offer Upgrades,provide.system,Offer upgrades or upsales such as increased capacity for the service based on monitoring of service usage.
-improve,Improve the capability,data_use,"Improve the product, service, application or system."
-improve.system,System,improve,"The source system, product, service or application being improved."
-personalize,Personalize the capability,data_use,"Personalize the product, service, application or system."
-personalize.system,System,personalize,"The source system, product, service or application being personalized."
-advertising,"Advertising, Marketing or Promotion",data_use,The promotion of products or services targeted to users based on the the processing of user provided data in the system.
-advertising.first_party,First Party Advertising,advertising,The promotion of products or services targeting users based on processing of derviced data from prior use of the system.
-advertising.third_party,Third Party Advertising,advertising,The promotion of products or services targeting users based on processing of specific categories of data acquired from third party sources.
-advertising.first_party.contextual,First Party Contextual Advertising,advertising.first_party,The promotion of products or services targeted to users based on the processing of derived data from the users prior use of the services.
-advertising.first_party.personalized,First Party Personalized Advertising,advertising.first_party,The targeting and changing of promotional content based on processing of specific data categories from the user.
-advertising.third_party.personalized,Third Party Personalized Advertising,advertising.third_party,The targeting and changing of promotional content based on processing of specific categories of user data acquired from third party sources.
-third_party_sharing,Third Party Sharing,data_use,The transfer of specified data categories to third parties outside of the system/application's scope.
-third_party_sharing.payment_processing,Sharing for Processing Payments,third_party_sharing,Sharing of specified data categories with a third party for payment processing.
-third_party_sharing.personalized_advertising,Sharing for Personalized Advertising,third_party_sharing,Sharing of specified data categories for the purpose of marketing/advertising/promotion.
-third_party_sharing.fraud_detection,Sharing for Fraud Detection,third_party_sharing,Sharing of specified data categories with a third party fo fraud prevention/detection.
-third_party_sharing.legal_obligation,Sharing for Legal Obligation,third_party_sharing,"Sharing of data for legal obligations, including contracts, applicable laws or regulations."
-collect,Collect,data_use,Collecting and storing data in order to use it for another purpose such as data training for ML.
-train_ai_system,Train AI System,data_use,"Training an AI system. Please note when this data use is specified, the method and degree to which a user may be directly identified in the resulting AI system should be appended."
diff --git a/docs/fides/docs/deployment.md b/docs/fides/docs/deployment.md
deleted file mode 100644
index 0a1a7d7032..0000000000
--- a/docs/fides/docs/deployment.md
+++ /dev/null
@@ -1,184 +0,0 @@
-# Deployment Guide
-
-!!! Tip "This guide is intended for production deployments. To quickly experiment with Fides, clone the [source repository](https://github.com/ethyca/fides), and use the built-in docker compose configuration to run a demo environment."
-
-A production-ready instance of Fides can be deployed leveraging the cloud infrastructure your organization is most familiar with.
-
-Fully deployed, Fides consists of the following individual systems:
-
-1. [**Hosted Database**](#set-up-the-hosted-database): A PostgreSQL database server used for permanent storage of configuration data for the webserver.
-2. [**Hosted Cache**](#set-up-the-hosted-cache): A Redis database server used as a temporary cache during execution and task scheduling.
-3. [**Fides Weberver**](#set-up-the-webserver): The main application, which houses the Admin UI and API endpoints.
-
-Optionally, the Fides [Privacy Center](#set-up-the-privacy-center-optional) can be deployed as a pre-built way to receive privacy requests.
-
-## Set up the hosted database
-
-Fides uses an application database for persistent storage. Any hosted PostgreSQL database that meets the current [project requirements](./installation/requirements.md) is acceptable, as long as it's accessible. 
-
-Options include:
-
-* A managed PostgreSQL database services (e.g., AWS RDS, GCP Cloud SQL, Azure Database)
-* A self-hosted PostgreSQL Docker container with a persistent volume mount (e.g., a Kubernetes cluster)
-* A self-hosted PostgreSQL server (e.g., an EC2 server)
-
-!!! Tip "As long as your database will be accessible by your Fides webserver, there is no need to expose it to the public Internet."
-
-### Configure your database
-Follow the documentation for the option of your choice to configure a production-grade PostgreSQL database.
-
-Once your database is up and running, create a **unique user** and **database** for Fides to use, and assign your Fides user a secure password.  
-
-### Update your Fides configuration
-Use your database information to set the following values in your Fides [configuration](./installation/configuration.md). The options for the `[postgres]` section of the `fides.toml` file are outlined below, but may be substituted with environment variables.
-
-| Name | Default | Description |
-| :---- | :------- | :----------- |
-| `user` | `postgres` | The database user Fides will use to log in to the application database. |
-| `password`| `fides` | The password for the Fides user. |
-| `server` | `fides-db` | The hostname of the Postgres database server. |
-| `port` | `5432` | The port at which the Postgres database will be accessible. |
-| `db` | `fides` | The name of the Postgres database. |
-
-## Set up the hosted cache
-
-During privacy request execution, Fides collects result data in a temporary Redis cache that automatically expires to ensure personal data is never retained erroneously. Any hosted Redis database that meets the current [project requirements](./installation/requirements.md) is acceptable, from a Docker [Redis](https://hub.docker.com/_/redis) container to a managed service (e.g., AWS ElastiCache, GCP Memorystore, Azure Cache, Redis Cloud).
-
-!!! Tip "As long as your cache will be accessible by your Fides webserver, there is no need to expose it to the public Internet."
-
-### Configure your cache
-Follow the documentation for the option of your choice to configure a production-grade Redis cache.
-
-Once your cache is available, ensure you enable a password (via Redis [`AUTH`](https://redis.io/commands/auth)) to provide additional security, and keep track of your connection credentials.
-
-### Update your Fides configuration
-Use your database information to set the following values in your Fides [configuration](./installation/configuration.md). The options for the `[redis]` section of the `fides.toml` file are outlined below, but may be substituted with environment variables.
-
-| Config Variable | Example | Description |
-| :--- | :--- | :--- | 
-| `host` | N/A | The network address for the application Redis cache. |
-| `port` | `6379` | The port at which the application cache will be accessible. |
-| `user`  | N/A | The user with which to login to the Redis cache. |
-| `password` | N/A | The password with which to login to the Redis cache. |
-| `db_index` | N/A | The application will use this index in the Redis cache to cache data. |
-
-## Set up the webserver
-
-The Fides webserver is a [FastAPI](https://fastapi.tiangolo.com/) application with a [Uvicorn](https://www.uvicorn.org/) server to handle requests. The host requirements for the webserver are minimal:
-
-* A general purpose webserver (e.g. for AWS EC2, a `t2.small` or larger)
-* Docker version 20.10.8 or newer (if installing via Docker)
-* OR Python 3.8 or newer (if installing via Python)
-* No persistent storage requirements (this is handled by the hosted database)
-
-### Using docker
-
-Ensure that Docker is running on your host, and satisfies the [minimum requirements](./installation/requirements.md).
-
-#### Pull the docker image
-Run the following command to pull the latest image from Ethyca's [DockerHub](https://hub.docker.com/r/ethyca/fides):
-
-```
-docker pull ethyca/fides
-``` 
-
-#### Configure Fides
-A number of environment variables are required for a minimum working [configuration](./installation/configuration.md). You can provide a configuration by creating an `.env` file and passing it in via the [`--env-file {file}` option](https://docs.docker.com/engine/reference/commandline/run/#set-environment-variables--e---env---env-file), by providing individual variables with the `--env {VAR}` option, or directly to your docker host.
-
-At a minimum, you'll need to configure the following:
-
-| Config Variable | Example | Description |
-|---|---|---|
-| `FIDES__SECURITY__APP_ENCRYPTION_KEY` | athirtytwocharacterencryptionkey | An AES256 encryption key used for DB & JWE encryption. Must be exactly 32 characters (256bits). |
-| `FIDES__SECURITY__OAUTH_ROOT_CLIENT_ID` | fidesadmin | The client ID used for the "root" OAuth client. |
-| `FIDES__SECURITY__OAUTH_ROOT_CLIENT_SECRET` | fidesadminsecret | The client secret used for the "root" OAuth client. |
-| `FIDES__DATABASE__SERVER` | postgres.internal | The hostname for your database server. |
-| `FIDES__DATABASE__PORT` | 5432 | The port for your database server. |
-| `FIDES__DATABASE__USER` | fides | The username Fides should use to access the database. |
-| `FIDES__DATABASE__PASSWORD` | fidessecret | The password Fides should use to access the database |
-| `FIDES__DATABASE__DB` | fides | The postgres database name. |
-| `FIDES__REDIS__HOST` | redis.internal | The hostname for your Redis server. |
-| `FIDES__REDIS__PORT` | 6379 | The port for your Redis server. |
-| `FIDES__REDIS__PASSWORD` | fidessecret | The password Fides should use to access Redis. |
-
-
-#### Start your server
-
-Once pulled, you can start your server with:
-
-```
-docker run ethyca/fides -p 8080:8080
-```
-
-To include your environment variables, you can run the following: 
-```sh
-docker run \
-  -p 8080:8080 \
-  --env FIDES__SECURITY__APP_ENCRYPTION_KEY="athirtytwocharacterencryptionkey" \
-  --env FIDES__SECURITY__OAUTH_ROOT_CLIENT_ID="fidesadmin" \
-  --env FIDES__SECURITY__OAUTH_ROOT_CLIENT_SECRET="fidesadminsecret" \
-  --env FIDES__DATABASE__SERVER="postgres.internal" \
-  --env FIDES__DATABASE__PORT="5432" \
-  --env FIDES__DATABASE__USER="fides" \
-  --env FIDES__DATABASE__PASSWORD="fidessecret" \
-  --env FIDES__DATABASE__DB="fides" \
-  --env FIDES__REDIS__HOST="redis.internal" \
-  --env FIDES__REDIS__PORT=6379 \
-  --env FIDES__REDIS__PASSWORD="fidessecret" \
-  ethyca/fides
-```
-
-If you prefer to create your .env file and pass an `--env-file` variable: 
-```
-docker run \
-  -p 8080:8080 \
-  --env-file=<ENV FILE NAME>.env \
-  ethyca/fides
-```
-
-```env title="<code>config.env</code>"
-FIDES__SECURITY__APP_ENCRYPTION_KEY="athirtytwocharacterencryptionkey" 
-FIDES__SECURITY__OAUTH_ROOT_CLIENT_ID="fidesadmin" 
-FIDES__SECURITY__OAUTH_ROOT_CLIENT_SECRET="fidesadminsecret" 
-FIDES__DATABASE__SERVER="postgres.internal" 
-FIDES__DATABASE__PORT="5432" 
-FIDES__DATABASE__USER="fides" 
-FIDES__DATABASE__PASSWORD="fidessecret" 
-FIDES__DATABASE__DB="fides" 
-FIDES__REDIS__HOST="redis.internal" 
-FIDES__REDIS__PORT=6379 
-FIDES__REDIS__PASSWORD="fidessecret"
-```
-
-Note that there's no need for a persistent volume mount. The webserver is fully ephemeral, and relies on the database for its permanent state.
-
-### Using Python
-
-Follow the [PyPI installation guide](./installation/pypi.md) for initializing and configuring Fides on your host.
-
-### Test the webserver
-
-To test that your server is running, visit `http://{server_url}/health` in your browser (e.g. http://0.0.0.0:8080/health) and you should see `{"webserver": "healthy", "database": "healthy", "cache": "healthy"}`. 
-
-You can also visit the hosted UI at `http://{server_url}/`.
-
-## Set up the Privacy Center (Optional)
-
-Ensure that Docker is running on your host, and satisfies the [minimum requirements](./installation/requirements.md).
-
-Run the following command to pull the latest image from Ethyca's [DockerHub](https://hub.docker.com/r/ethyca/fides):
-
-```
-docker pull ethyca/fides-privacy-center
-``` 
-
-More information about configuration options can be found [here](./ui/privacy_center.md).
-
-Once pulled and configured, you can run the following within your project to start the server: 
-
-```sh
-docker run --rm \
-  -v $(pwd)/config:/app/config \
-  -p 3000:3000 ethyca/fides-privacy-center:latest
-```
-
diff --git a/docs/fides/docs/dsr_quickstart/basic_setup.md b/docs/fides/docs/dsr_quickstart/basic_setup.md
deleted file mode 100644
index 4d161f0412..0000000000
--- a/docs/fides/docs/dsr_quickstart/basic_setup.md
+++ /dev/null
@@ -1,36 +0,0 @@
-# Get Started with DSR Automation
-
-This guide is designed to walk you through configuring Fides and automating your first Data Subject Request.
-
-To quickly run Fides against real databases for experimentation, see the provided [sample project](../getting-started/sample_project.md). 
-
-## Set up a compute instance
-The instance you use for running Fides should simulate a "typical" developer machine (e.g., a modern laptop with 8GB RAM, an m6g.large on AWS EC2, etc).
-
-### Instance requirements
-Your instance must: 
-
-* Have [Docker](https://www.docker.com/products/docker-desktop) (version 20.10.11 or later) or [Python](https://www.python.org/downloads/) (version 3.8, 3.9, or 3.10) installed
-* Have a hard drive to persist database volumes, YAML resource files, etc.
-* Be accessible for interactive shell commands (e.g. SSH)
-* Be accessible via HTTP for web browser commands
-
-### Verify the installation
-
-**For Docker installations,** run `docker -v` in a new shell to confirm that docker is ready to use:
-
-```title="Example output:"
-% docker -v
-Docker version 20.10.11, build dea9396
-```
-
-
-**For Python installations,** run `python -version` in a new shell to confirm that docker is ready to use:
-
-```title="Example output:"
-% python --version
-Python 3.9.13
-```
-
-## Next steps
-You are now ready to install Fides, and set up your [environment](./environment_configuration.md)!
\ No newline at end of file
diff --git a/docs/fides/docs/dsr_quickstart/configure_connectors.md b/docs/fides/docs/dsr_quickstart/configure_connectors.md
deleted file mode 100644
index 00f7ca1c9c..0000000000
--- a/docs/fides/docs/dsr_quickstart/configure_connectors.md
+++ /dev/null
@@ -1,48 +0,0 @@
-# Configure Connectors
-
-Fides *Connections* represent integrations to third party applications, databases, or manual storage locations.
-
-![connections list](../img/admin_ui/connections_list.png)
-
-To get started, navigate to your hosted UI, which is available at `http://{server_url}/` (e.g. `http://localhost:8080/`) when your webserver is running. 
-
-## Add a connection
-
-To add a new Connector, select "**Create New Connector**" from the Connections panel. You will be directed to a list of all available connection options, including adding [manual connectors](#manual-connections).
-
-![new connection](../img/admin_ui/new_connection.png)
-
-Search for and select your desired connector. The Connectors UI will assist in adding and configuring your new connection. 
-
-### Automated connections
-
-Fides automatically includes your SaaS connectors when processing [privacy requests](../getting-started/privacy_requests.md). Once you have selected a connection type, the UI allows you to describe your connection's configuration information, which includes any necessary fields for accessing and updating third-party data.
-
-![configure connection](../img/admin_ui/configure_connection.png)
-
-Once you have filled in the necessary information, select **Save**, and Fides will automatically attempt to test your connection.
-
-### Manual connections
-
-Manual connections are available for any data that cannot be processed automatically. Examples of manual connections might include physical storage locations, or third-party services without accessible APIs. Fides will pause processing a privacy request at any manual connection, and wait for administrator input before continuing.
-
-To add a manual connection, select **Manual connection** in the "Show all connectors" dropdown. 
-
-![manual connection](../img/admin_ui/manual_connection.png)
-
-Once selected, Fides allows you to name and describe your manual connection, as well as provide a list of connection owners. These owners will be contacted by email when needed to respond to a privacy request with a manual component.
-
-To continue, select **Save**.
-
-![manual configuration](../img/admin_ui/manual_configuration.png)
-
-You may now add any fields required by the manual connection. Connection owners will be required to supply this information when processing a manual request.
-
-Additional fields may be added by selecting **Add new PII Fields**. 
-
-![manual fields](../img/admin_ui/manual_fields.png)
-
-One finished, select **Save.**
-
-## Next steps
-With your connections configured, you are read to connect Fides to your [databases](./connect_databases.md).
\ No newline at end of file
diff --git a/docs/fides/docs/dsr_quickstart/connect_databases.md b/docs/fides/docs/dsr_quickstart/connect_databases.md
deleted file mode 100644
index 8a1f61e2d1..0000000000
--- a/docs/fides/docs/dsr_quickstart/connect_databases.md
+++ /dev/null
@@ -1,27 +0,0 @@
-# Connect Databases 
-
-The Datasets panel allows you to easily view, add, edit, and configure [datasets](https://ethyca.github.io/fideslang/resources/dataset/), which represent your external databases.
-
-## Adding a dataset 
-
-Datasets can be added to the Fides UI by connecting to your databases. To add a new dataset, select **Create new dataset** from the Datasets panel.
-
-![dataset ui](../img/admin_ui/datasets.png)
-
-You will then be given a list of options for creating your new dataset:
-
-![add a new dataset](../img/admin_ui/admin_ui_new_dataset.png)
-### Connect to a database 
-
-To generate a dataset by connecting directly to a database, select **Connect a database using a connection URL**.
-
-![database connection](../img/admin_ui/admin_ui_db.png)
-
-You will need to provide your **database type** from the dropdown, as well as the **database URL string.** 
-
-Once the required information is entered, select **Create database**. Fides will display a success notification when the process is completed.
-
-## Additional resources
-To learn more about modifying datasets or manually uploading a configuration YAML, see the [datasets](../ui/datasets.md) reference guide.
-## Next steps
-With your databases connected and your SaaS applications configured, you're ready to [process a DSR](./dsr_processing.md)!
\ No newline at end of file
diff --git a/docs/fides/docs/dsr_quickstart/dsr_processing.md b/docs/fides/docs/dsr_quickstart/dsr_processing.md
deleted file mode 100644
index 15e9b07cc6..0000000000
--- a/docs/fides/docs/dsr_quickstart/dsr_processing.md
+++ /dev/null
@@ -1,22 +0,0 @@
-# Process a Data Subject Request
-
-You can now navigate to your hosted Privacy Center, and begin accepting data subject requests!
-
-![privacy center](../img/admin_ui/delete-your-data.png)
-
-## Using the Control Panel
-
-Your administrator control panel allows you to view and process submitted privacy requests. The Privacy Request console provides search and sort capabilities, quick approve and deny functions, and in-depth details on individual request histories and statuses.
-
-![privacy requests](../img/admin_ui/sr_overview.png)
-
-## View request details
-
-![privacy request details](../img/admin_ui/subject_request_details.png)
-Double-clicking a request row will display the request detail page, which allows access to additional information about the request, including the request ID, request type, and current status.
-
-## Additional resources
-For more information on processing requests and viewing request details, see the [Admin UI](../ui/privacy_requests.md) guides.
-
-## Next steps
-Congratulations - you've gone from **0 to DSR Automation**! Fides offers many more tools help take control of your data privacy. To find out more, check out our guides on [data mapping](../guides/generate_datamaps.md), [privacy-as-code](../cicd.md), and the [Fides Taxonomy](https://ethyca.github.io/fideslang/).
\ No newline at end of file
diff --git a/docs/fides/docs/dsr_quickstart/environment_configuration.md b/docs/fides/docs/dsr_quickstart/environment_configuration.md
deleted file mode 100644
index 2c75a88193..0000000000
--- a/docs/fides/docs/dsr_quickstart/environment_configuration.md
+++ /dev/null
@@ -1,78 +0,0 @@
-Once your compute instance is set up, you can install Fides. Fides is available via maintained packages on [PyPI](https://pypi.org/project/fides/) and through Ethyca's [DockerHub](https://hub.docker.com/r/ethyca/fides).
-
-## Running Fides via Docker
-The Fides docker image is published on the [ethyca/fides DockerHub](https://hub.docker.com/r/ethyca/fides/tags) and maintained by the Fides team. 
-
-### Installation
-Run the following command to pull the latest image from Ethyca's [DockerHub](https://hub.docker.com/r/ethyca/fides):
-
-```
-docker pull ethyca/fides
-```
-
-To pull the Fides [Privacy Center](./privacy_center.md), run the following:
-```
-docker pull ethyca/fides-privacy-center
-```
-
-### Running the webserver
-Once downloaded, you can start the Fides UI and database:
-```
-docker compose up -d
-```
-
-To open an interactive shell and connect to the CLI, run the following:
-```
-docker compose exec -it fides-poc /bin/bash
-```
-
-With the Fides webserver running, the hosted UI is available at `http://{server_url}/` (e.g. `http://localhost:8080/`). 
-
----
-
-## Installing Fides via Pip
-The Fides Python package is [published on PyPI](https://pypi.org/project/fides/) and maintained by the Fides team.
-### Installation 
-To install Fides, run:
-
-```sh
-pipx install fides
-```
-#### Initialize Fides
-
-Initializing the project will create a configuration file with default values, and generate a directory to house your Fides resources.
-
-```sh title="Initialize Fides"
-fides init
-```
-
-```txt title="Expected Output"
-Initializing Fides...
-----------
-Created a './.fides' directory.
-----------
-Created a fides config file: ./.fides/fides.toml
-To learn more about configuring fides, see:
-    https://ethyca.github.io/fides/installation/configuration/
-----------
-For example policies and help getting started, see:
-    https://ethyca.github.io/fides/guides/policies/
-----------
-Fides initialization complete.
-```
-
-#### Running the webserver
-
-In a shell, run the following command:
-
-```sh
-fides webserver
-```
-
-With the Fides webserver running, the hosted UI is available at `http://{server_url}/` (e.g. `http://localhost:8080/`). 
-
-## Additional resources
-For more information on customizing your environment configuration, see the [configuration reference](../installation/configuration.md) guide.
-
-## Next steps
-Now that your webserver is running, you are ready to [add Connectors](./configure_connectors.md).
\ No newline at end of file
diff --git a/docs/fides/docs/dsr_quickstart/privacy_center.md b/docs/fides/docs/dsr_quickstart/privacy_center.md
deleted file mode 100644
index 3153656728..0000000000
--- a/docs/fides/docs/dsr_quickstart/privacy_center.md
+++ /dev/null
@@ -1,139 +0,0 @@
-# Privacy Center
-
-The Fides [Privacy Center](privacy_center.md) is a configurable webpage where users can request to download or delete their data. The Privacy Center also provides configurable consent settings for regulatory compliance, allowing users to access and edit their data use preferences.
-
-![privacy center](../img/admin_ui/privacy_center.png)
-
-## Run the Privacy Center
-The Privacy Center is provided in a separate Docker image. To begin, run the following command:
-
-```
-docker pull ethyca/fides-privacy-center
-```
-
-The Privacy Center can be deployed independently, or alongside any other hosted components. 
-
-## Configuration
-
-The Fides Privacy Center's text and actions are managed by a `config.json` file in the Fides `/privacy-center/config` directory.
-
-```json title="<code>config.json</code>"
-{
-  "title": "Take control of your data",
-  "description": "When you use our services, you’re trusting us with your information. We understand this is a big responsibility and work hard to protect your information and put you in control.",
-  "server_url_development": "http://localhost:8080/api/v1",
-  "server_url_production": "https://<$YOUR_SERVER_URL>/api/v1",
-  "logo_path": "/logo.svg",
-  "actions": [
-    {
-      "policy_key": "default_access_policy",
-      "icon_path": "/download.svg",
-      "title": "Access your data",
-      "description": "We will email you a report of the data related to your account.",
-      "identity_inputs": {
-        "name": "optional",
-        "email": "required",
-        "phone": "optional"
-      }
-    },
-    {
-      "policy_key": "default_erasure_policy",
-      "icon_path": "/delete.svg",
-      "title": "Erase your data",
-      "description": "We will delete all of your account data. This action cannot be undone.",
-      "identity_inputs": {
-        "name": "optional",
-        "email": "required",
-        "phone": "optional"
-      }
-    }
-  ],
-  "includeConsent": true,
-  "consent": {
-    "cookieName": "fides_consent",
-    "consentOptions": [
-      {
-        "fidesDataUseKey": "advertising",
-        "name": "Advertising / Data Sharing",
-        "description": "We may use some of your personal information for advertising performance analysis and audience modeling for ongoing advertising which may be interpreted as 'Data Sharing' under some regulations.",
-        "url": "https://example.com/privacy#advertising",
-        "default": true,
-        "highlight": false,
-        "cookieKeys": ["data_sales"]
-      },
-      {
-        "fidesDataUseKey": "improve",
-        "name": "Product Analytics",
-        "description": "We may use some of your personal information to collect analytics about how you use our products & services, in order to improve our service.",
-        "url": "https://example.com/privacy#data-sales",
-        "default": true,
-        "highlight": false,
-        "cookieKeys": ["data_sales"]
-      },
-      {
-        "name": "Analytics",
-        "fidesDataUseKey": "third_party_sharing",
-        "description": "...",
-        "url": "https://example.com/privacy#analytics",
-        "cookieKeys": ["data_sharing"]
-      },
-      {
-        "name": "Personalize",
-        "fidesDataUseKey": "personalize",
-        "default": true,
-        "url": "https://example.com/privacy#personalize",
-        "description": "...",
-        "cookieKeys": ["functional"]
-      },
-      {
-        "name": "Essential",
-        "fidesDataUseKey": "provide.service",
-        "default": true,
-        "url": "https://example.com/privacy#essential",
-        "highlight": true,
-        "description": "...",
-        "cookieKeys": ["essential"]
-      }
-    ]
-  }
-}
-```
-
-| Key | Description |
-|----|----|
-| `title` and `description` | Text fields to override the default text of either the main portal, or the associated action. |
-| `server_url_development` | The Fides server URL to use for development deployments. |
-| `server_url_production` | The Fides server URL to use for production deployments. |
-| `logo_path` | The relative path to a brand or site logo to replace the default. |
-| `actions` | A list of [action objects](#actions), each of which represent a new tile available in the portal, and are associated to a single Fides policy. |
-| `policy_key` | The key of the [policy](../guides/policies.md) to use for this action. |
-| `icon_path` | The relative path of an icon to replace the defaults. |
-| `identity_inputs` | The list of personally identifiable information required by an action. |
-
-### Actions
-
-Actions represent available privacy rights executable from the Privacy Center. The provided `config.json` includes Download and Delete default, representing common requests to access or remove data under most privacy regulations. Each action is associated with a Fides [policy key](../guides/policy_webhooks.md), which defines the policy executed when the DSR is approved.
-
-Additional actions can be added to this list, and removed at any time.
-
-### Consent
-To provide compliance with local and internal regulations, you may define a series of [data uses](https://ethyca.github.io/fideslang/taxonomy/data_uses/) in your Privacy Center configuration. This list of data uses will allow users to configure their personal privacy preferences, which will be stored as a cookie.
-
-![manage consent](../img/admin_ui/manage_consent.png)
-
-| Key | Description |
-|----|----|
-| `includeConsent` | Where or not the consent options are enabled. |
-| `cookieName` | The name of the stored cookie. |
-| `title` and `description` | Text fields to override the default text of the associated consent option. |
-| `url` | The URL where a user can find additional information about this data use. |
-| `default` | If this consent preference is enabled (true) or disabled (false) by default. |
-| `highlight` | Whether or not this consent preference is highlighted. |
-| `cookieKeys` | The data use represented within your stored cookie. |
-
-### Styling
-
-Any overrides for CSS styling can be included in a `config.css` file in the `/privacy-center/config` directory.
-
-## Next steps
-With all the components for DSR automation configured, you can now process a [data subject request](./dsr_processing.md)!
\ No newline at end of file
diff --git a/docs/fides/docs/getting-started/database_connectors.md b/docs/fides/docs/getting-started/database_connectors.md
deleted file mode 100644
index 30c02dfefe..0000000000
--- a/docs/fides/docs/getting-started/database_connectors.md
+++ /dev/null
@@ -1,502 +0,0 @@
-# Connect to SQL and NoSQL Databases
-
-## What is a Connection?
-
-A _Connection_ links your owned databases and [third-party applications](../saas_connectors/saas_connectors.md) to Fides, allowing Fides to execute privacy requests against your collections and fields.
-
-Fides currently supports connections to the following databases:
-
-* PostgreSQL
-* MongoDB
-* MySQL
-* MariaDB
-* Microsoft SQLServer
-* Amazon Redshift
-* Snowflake
-* Google BigQuery
-
-Other platforms will be added in future releases.
-
-## How do Connections differ from Datasets?
-
-A Dataset is model of your database that describes the data contained within each field. A Connection stores the secrets to connect to the database. After Fides connects to your database, it dynamically generates queries to fulfil privacy requests by consulting the annotations in the Dataset.
-
-
-## Create a new Connection 
-The connection between Fides and your database is represented by a _Connection_. To create a new Connection, issue a request to the [Connection](./api/#operations-Connections-put_connections_api_v1_connection_put) endpoint, passing a payload that contains the properties listed below. 
-
-| Field | Description |
-| --- | --- |
-| `name` | A human-readable name for your database. |
-| `key` | A string token that uniquely identifies this Connection. If you don't supply a `key`, the `name` value, converted to snake-case, is used. |
-| `connection-type` | Specifies the type of database. Valid values are `postgres`, `mongodb`, `mysql`, `mariadb`, `mssql`, `redshift`, `snowflake`, and `bigquery`. |
-| `access` | The connection's permissions, either `read` (Fides may only read from your database) or `write` (Fides can read from and write to your database). |
-| `disabled` | determines whether the Connection is active.  If `True`, Fides will skip running queries for any collection associated with that Connection. |
-| `description` | _Optional._  An extra field to add further details about your Connection. |
-
-While the Connection contains meta information about the database, it does not identify the database itself.
-
-### Examples
-
-All of the following are `PATCH` requests to `api/v1/connection`.
-
-```json title="PostgreSQL"
-[
-  { 
-    "name": "Application PostgreSQL DB",
-    "key": "application_postgresql_db",
-    "connection_type": "postgres",
-    "access": "read"
-  }
-]
-```
-
-```json title="MongoDB"
-[
-  { 
-    "name": "My Mongo DB",
-    "key": "my_mongo_db",
-    "connection_type": "mongodb",
-    "access": "write",
-    "disabled": false
-  }
-]
-``` 
-
-```json title="MySQL"
-[
-  { 
-    "name": "My MySQL DB",
-    "key": "my_mysql_db",
-    "connection_type": "mysql",
-    "access": "write",
-    "disabled": false
-  }
-]
-``` 
-
-```json title="MariaDB"
-[
-  { 
-    "name": "My Maria DB",
-    "key": "my_maria_db",
-    "connection_type": "mariadb",
-    "access": "write",
-    "disabled": false
-  }
-]
-``` 
-
-```json title="MsSQL""
-[
-  { 
-    "name": "My MsSQL DB",
-    "key": "my_mssql_db",
-    "connection_type": "mssql",
-    "access": "write",
-    "disabled": false
-  }
-]
-``` 
-
-```json title="Manual Connections"
-[
-  {
-    "name": "Manual connector",
-    "key": "manual_connector",
-    "connection_type": "manual",
-    "access": "read",
-    "disabled": false,
-    "description": "Connector describing manual actions"
-  }
-]
-``` 
-
-## Set the Connection secrets
-After creating a new Connection, you explain how to connect to it by setting its "secrets": the host, port, user, and password. These values are specific to each database, and should reference the user and password you would like Fides to use when accessing your database.
-
-Call the [Connection Secrets](./api#operations-Connections-put_connection_config_secrets_api_v1_connection__connection_key__secret_put) endpoint. You can set the Connection attributes separately, or supply a single `url` string that encodes them all.
-
-!!! Tip "Fides encrypts all Connection secrets values before they're stored."
-
-### Set the secrets separately
-
-This example sets the database secrets through separate properties and then tests the connection.
-
-```json title="<code>PUT /api/v1/connection/application-postgresql-db/secret?verify=true</code>"
-{
-   "host": "host.docker.internal",
-   "port": 5432,
-   "dbname": "postgres_example",
-   "username": "postgres",
-   "password": "postgres"
-}
-```
-
-### Set the secrets as a URL
-
-This example sets the database secrets as a single `url` property, and skips the connection test.
-
-
-```json title="<code>PUT api/v1/connection/my_mongo_db/secret?verify=false</code>" 
-{
-    "url": "mongodb://mongo_user:mongo_pass@mongodb_example/mongo_test"
-}
-```
-
-### Examples
-**Amazon Redshift**
-```json title="<code>PUT api/v1/connection/my_redshift_db/secret</code>" 
-{
-    "url": "redshift+psycopg2://username@host.amazonaws.com:5439/database",
-    "db_schema": "my_test_schema"
-}
-```
-
-This Amazon Redshift example sets the database secrets using a `url` property and a `db_schema` property. Redshift
-databases have one or more schemas, with the default being named `public`.  
-
-If you need to use a different schema, specify a `db_schema` when setting your secrets, and it will be set as the `search_path` for querying.
-
-**Google BigQuery**
-```json title="<code>PUT api/v1/connection/my_bigquery_db/secret</code>"
-{
-    "dataset": "some-dataset",
-    "keyfile_creds": {
-        "type": "service_account",
-        "project_id": "project-12345",
-        "private_key_id": "qo28cy4nlwu",
-        "private_key": "-----BEGIN PRIVATE KEY-----\nqi2unhflhncflkjas\nkqiu34c\n-----END PRIVATE KEY-----\n",
-        "client_email": "something@project-12345.iam.gserviceaccount.com",
-        "client_id": "287345028734538",
-        "auth_uri": "https://accounts.google.com/o/oauth2/auth",
-        "token_uri": "https://oauth2.googleapis.com/token",
-        "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
-        "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/something%40project-12345.iam.gserviceaccount.com"
-    }
-}
-```
-
-Google BigQuery requires two parameters: 
-
-`dataset` - The name of your dataset. BigQuery datasets are top-level containers (within a project) that are used to organize and control access to your tables and views.
-
-`keyfile_creds` - The credentials from your service account JSON keyfile, accessible for download from the GCP console.  
-
-
-### Test your connection 
-When setting your Connection secrets, setting the `verify` query parameter to `true` allows you to test the Connection by issuing a trivial request to the database. 
-
-The `test_status` response property announces the test result as `succeeded` or `failed`. If the attempt has failed, the `failure_reason` property gives further details about the failure.
-
-To skip the connection test, set `verify` to `false`.
-
-You can verify that a Connection's secrets are valid at any time by calling the [Test a Connection's Secrets](./api#operations-Connections-test_connection_config_secrets_api_v1_connection__connection_key__test_get) endpoint:
-
-
-```title="GET"
-/api/v1/connection/application-postgresql-db/test
-```
-Test failures can be resolved by calling the [Set a Connection's Secrets](./api#operations-Connections-put_connection_config_secrets_api_v1_connection__connection_key__secret_put) endpoint, and resetting the secret values.
-
-```json title="Success"
-{
-    "msg": "Test completed for ConnectionConfig with key: app_postgres_db.",
-    "test_status": "succeeded",
-    "failure_reason": null
-}
-```
-
-```json title="Failure"
-{
-    "msg": "Secrets updated for ConnectionConfig with key: app_mongo_db.",
-    "test_status": "failed",
-    "failure_reason": "Operation Failure connecting to MongoDB."
-}
-```
-
-## Associate a Dataset
-Once you have a working Connection, it must be associated to an existing [dataset](datasets.md). This enables Fides to map and access the contents of your database. 
-
-Call the `/dataset` endpoint with a JSON version of your dataset as the request body:
-
-```json title="<code>PATCH /api/v1/connection/my_connection_key/dataset</code>"
-[{
-    "fides_key": "example_test_dataset",
-    "name": "Example Test Dataset",
-    "description": "Example of a dataset containing a variety of related tables like customers, products, addresses, etc.",
-    "collections": [...]
-}]
-```
-
-## Filtering your Connections
-
-Fides can filter and return matching Connections based on the `connection_type`, the `testing_status`, the `system_status`, and whether the connection is `disabled`.
-
-### Connection type filter
-
-Including multiple `connection_type` query parameters and values will result in a query that looks for *any* connections with that type:
-
-```json title="<code>GET api/v1//connection/?connection_type=mariadb&connection_type=postgres</code>"
-{
-    "items": [
-        {
-            "name": "Application Maria DB",
-            "key": "app_mariadb_db",
-            "description": null,
-            "connection_type": "mariadb",
-            "access": "write",
-            "created_at": "2022-06-16T22:21:02.353226+00:00",
-            "updated_at": "2022-06-16T22:21:02.353226+00:00",
-            "disabled": false,
-            "last_test_timestamp": null,
-            "last_test_succeeded": null
-        },
-        {
-            "name": "Application PostgreSQL DB",
-            "key": "app_postgres_db",
-            "description": "postgres backup",
-            "connection_type": "postgres",
-            "access": "write",
-            "created_at": "2022-06-16T22:20:24.972539+00:00",
-            "updated_at": "2022-06-16T22:20:24.972539+00:00",
-            "disabled": false,
-            "last_test_timestamp": null,
-            "last_test_succeeded": null
-        }
-    ],
-    "total": 2,
-    "page": 1,
-    "size": 50
-}
-
-```
-
-### Disabled filter
-The `disabled` filter will return datastores are skipped as part of privacy request execution:
-
-```json title="<code>GET api/v1/connection/?disabled=true</code>"
-{
-    "items": [
-        {
-            "name": "My Mongo DB",
-            "key": "app_mongo_db",
-            "description": "Primary Mongo DB",
-            "connection_type": "mongodb",
-            "access": "write",
-            "created_at": "2022-06-16T22:20:34.122212+00:00",
-            "updated_at": "2022-06-16T22:20:34.122212+00:00",
-            "disabled": true,
-            "last_test_timestamp": null,
-            "last_test_succeeded": null
-        }
-    ],
-    "total": 1,
-    "page": 1,
-    "size": 50
-}
-
-```
-
-### Test_Status filter
-The `test_status` filter queries on the status of the last successful test:
-
-```json title="<code>GET api/v1/connection/?test_status=false</code>"
-{
-    "items": [
-        {
-            "name": "My Mongo DB",
-            "key": "app_mongo_db",
-            "description": "Primary Mongo DB",
-            "connection_type": "mongodb",
-            "access": "write",
-            "created_at": "2022-06-16T22:20:34.122212+00:00",
-            "updated_at": "2022-06-16T22:20:34.122212+00:00",
-            "disabled": true,
-            "last_test_timestamp": 2022-06-16T22:20:34.122212+00:00,
-            "last_test_succeeded": false
-        }
-    ],
-    "total": 1,
-    "page": 1,
-    "size": 50
-}
-
-```
-
-### System_Status filter
-The `system_status` filter surfaces either `database` or [`saas`-type](../saas_connectors/saas_connectors.md) connectors:
-
-```json title="<code>GET api/v1/connection/?system_type=database</code>"
-{
-    "items": [
-        {
-            "name": "My Mongo DB",
-            "key": "app_mongo_db",
-            "description": "Primary Mongo DB",
-            "connection_type": "mongodb",
-            "access": "write",
-            "created_at": "2022-06-16T22:20:34.122212+00:00",
-            "updated_at": "2022-06-16T22:20:34.122212+00:00",
-            "disabled": true,
-            "last_test_timestamp": 2022-06-16T22:20:34.122212+00:00,
-            "last_test_succeeded": false
-        }
-    ],
-    "total": 1,
-    "page": 1,
-    "size": 50
-}
-```
-
-## Search your Connections
-You can search the `name`, `key`, and `description` fields of your Connections with the `search` query parameter.
-
-```json title="<code>GET /api/v1/connection/?search=application mysql</code>"
-{
-    "items": [
-        {
-            "name": "Application MySQL DB",
-            "key": "app_mysql_db",
-            "description": "My Backup MySQL DB",
-            "connection_type": "mysql",
-            "access": "read",
-            "created_at": "2022-06-13T18:03:28.404091+00:00",
-            "updated_at": "2022-06-13T18:03:28.404091+00:00",
-            "last_test_timestamp": null,
-            "last_test_succeeded": null
-        }
-    ],
-    "total": 1,
-    "page": 1,
-    "size": 50
-}
-```
-
-
-## View available connection types
-To view a list of all available connection types, visit `GET /api/v1/connection_type`. This endpoint can be filtered with a `search` query parameter, and is subject to change.  Both database options and third party API services are included.
-
-```json title="<code>GET /api/v1/connection_type</code>"
-{
-    "items": [
-        {
-            "identifier": "bigquery",
-            "type": "database"
-        },
-        {
-            "identifier": "mariadb",
-            "type": "database"
-        },
-        {
-            "identifier": "mongodb",
-            "type": "database"
-        },
-        {
-            "identifier": "mssql",
-            "type": "database"
-        },
-        {
-            "identifier": "mysql",
-            "type": "database"
-        },
-        {
-            "identifier": "postgres",
-            "type": "database"
-        },
-        {
-            "identifier": "redshift",
-            "type": "database"
-        },
-        {
-            "identifier": "snowflake",
-            "type": "database"
-        },
-        {
-            "identifier": "adobe_campaign",
-            "type": "saas"
-        },
-        {
-            "identifier": "auth0",
-            "type": "saas"
-        },
-        {
-            "identifier": "datadog",
-            "type": "saas"
-        },
-        {
-            "identifier": "fullstory",
-            "type": "saas"
-        },
-        {
-            "identifier": "friendbuy",
-            "type": "saas"
-        },
-        {
-            "identifier": "hubspot",
-            "type": "saas"
-        },
-        {
-            "identifier": "mailchimp",
-            "type": "saas"
-        },
-        {
-            "identifier": "outreach",
-            "type": "saas"
-        },
-        {
-            "identifier": "salesforce",
-            "type": "saas"
-        },
-        {
-            "identifier": "segment",
-            "type": "saas"
-        },
-        {
-            "identifier": "sendgrid",
-            "type": "saas"
-        },
-        {
-            "identifier": "sentry",
-            "type": "saas"
-        },
-        {
-            "identifier": "stripe",
-            "type": "saas"
-        },
-        {
-            "identifier": "zendesk",
-            "type": "saas"
-        }
-    ],
-    "total": 21,
-    "page": 1,
-    "size": 50
-}
-```
-
-## View required connection secrets
-To view the secrets needed to authenticate with a given connection, visit `GET /api/v1/connection_type/<connection_type>/secret`.
-
-```json title="<code>GET /api/v1/connection_type/sentry/secret</code>"
-{
-    "title": "sentry_schema",
-    "description": "Sentry secrets schema",
-    "type": "object",
-    "properties": {
-        "access_token": {
-            "title": "Access Token",
-            "type": "string"
-        },
-        "domain": {
-            "title": "Domain",
-            "default": "sentry.io",
-            "type": "string"
-        }
-    },
-    "required": [
-        "access_token"
-    ],
-    "additionalProperties": false
-}
-```
\ No newline at end of file
diff --git a/docs/fides/docs/getting-started/datasets.md b/docs/fides/docs/getting-started/datasets.md
deleted file mode 100644
index 896196b9d0..0000000000
--- a/docs/fides/docs/getting-started/datasets.md
+++ /dev/null
@@ -1,194 +0,0 @@
-# Create Datasets
-
-## What is a Dataset?
-
-A _Dataset_ is the configuration you provide for a database or other queryable datastore. Fides Datasets are applicable to a wide variety of datastores beyond traditional databases. Within Datasets, the term _collection_ is used to describe an SQL table, mongo database collection, or any other single coherent set values.
-
-## Configure a Dataset
-Fides uses a YAML manifest file to represent your datastores, and requires information beyond table names and fields to fully configure a Dataset. Datastores connected in this way will be automatically traversed when Fides executes a privacy request, and will either return or update the requested data according to the associated [execution policy](./execution_policies.md).
-
-Ensure you have created a [Connection](./database_connectors.md) for the datastore you would like to map. The Dataset defined by the following process should be [associated to the Connection](./database_connectors.md#associate-a-dataset).
-
-### Describe a datastore 
-
-The following is a sample database of customers and addresses. It includes a `customer` table that has a foreign key of `address_id` to an `address` table:
-
-``` sql
-CREATE TABLE CUSTOMER (
-  id INT PRIMARY KEY,
-  name VARCHAR,
-  email VARCHAR,
-  address_id int REFERENCES ADDRESS(id)
-);
-
-CREATE TABLE ADDRESS(
-  id INT PRIMARY KEY,
-  street VARCHAR,
-  city VARCHAR,
-  state VARCHAR,
-  zip VARCHAR
-);
-```
-
-A Fides Dataset contains a map of the database's fields, and _metadata_ describing how those fields are related. Fides uses this relationship information to navigate between different collections and fulfill privacy requests. The Dataset declaration for the above schema looks like:
-
-``` yaml
-dataset:
-  - fides_key: mydatabase
-    name: internal database
-    description: our internal database of customer data
-    collections:
-      - name: address
-        fields:
-          - name: id
-            data_categories: [system.operations]
-            fidesops_meta:
-              primary_key: True
-          - name: street
-            data_categories: [user.contact.address.street]
-            fidesops_meta:
-              data_type: string
-          - name: city
-            data_categories: [user.contact.address.city]
-            fidesops_meta:
-              data_type: string
-          - name: state
-            data_categories: [user.contact.address.state]
-            fidesops_meta:
-              data_type: string
-          - name: zip
-            data_categories: [user.contact.address.postal_code]
-            fidesops_meta:
-              data_type: string
-
-      - name: customer
-        after: mydatabase.address
-        fields:
-          - name: address_id
-            data_categories: [system.operations]
-            fidesops_meta:
-              references:
-                - dataset: mydatabase
-                  field: address.id
-                  direction: to
-          - name: created
-            data_categories: [system.operations]
-          - name: email
-            data_categories: [user.contact.email]
-            fidesops_meta:
-              identity: email
-              data_type: string
-          - name: id
-            data_categories: [user.unique_id]
-            fidesops_meta:
-              primary_key: True
-          - name: name
-            data_categories: [user.name]
-            fidesops_meta:
-              data_type: string
-```
-
-#### Dataset members
-
-| Name | Description
-| --- | ----- |
-| `fides_key` | A unique identifier name for the Dataset. |
-| `collections` | A list of addressable collections. |
-| `after` | An optional list of Datasets that must be fully traversed before this Dataset is queried. |
-
-#### Collection members
-
-| Name | Description
-| --- | ----- |
-| `name` | This collection name must correspond to the name used for it in your datastore. It will be used to dynamically generate query and update statements. |
-| `fields` | A list of addressable fields in the collection. Specifying the fields in the collection tells Fides what data to address in the collection. |
-| `after` | _Optional._ A list of collections (in the form `[dataset name].[collection name]`) that must be fully traversed before this collection is queried. |
-
-#### Field members
-
-| Name | Description
-| --- | ----- |
-| `name` | The name of the field will be used to generate query and update statements. **Fides does not do automated schema discovery,** and is only aware of the fields you declare.
-| `data_categories` | Annotating `data_categories` connects fields to execution policy rules, and determines which actions apply to each field. For more information see [execution policies](./execution_policies.md).
-| `fidesops_meta` | The `fidesops_meta` section specifies additional fields that control how Fides manages your data.
-| `references` | A declaration of relationships between collections. Where the `customer` configuration declares a reference to `mydatabase:address:id`, Fides will use the values from `mydatabase.address.id` to search for related values in `customer`. References require both the Dataset and collection name to allow for multiple Dataset-collection configurations. |
-| `references.field` | The linked field, using the syntax `[dataset name].[collection name ].[field name]`. |
-| `references.identity` | Signifies that this field is an identity value that can be used as the root for a traversal. For more information, see [graph traversals](../guides/query_execution.md). |
-| `references.direction` | *Optional.* Accepted values are `from` or `to`. This determines how fidesops uses the relationships to discover data. If the direction is `to`, fidesops will only use data in the _source_ collection to discover data in the _referenced_ collection. If the direction is `from`, fidesops will only use data in the _referenced_ collection to discover data in the _source_ collection. If the direction is omitted, fidesops will traverse the relation in whatever direction works to discover all related data.
-|`references.primary_key` | *Optional.* A boolean value. Fides will treat this field as a unique row identifier for generating update statements. If no primary key is specified for any field on a collection, no updates will be generated against that collection. If multiple fields are marked as primary keys, the combination of their values will be treated as a combined key. |
-| `references.data_type` | *Optional.* An indication of the type of data held by this field. Data types are used to convert values to the appropriate type when those values are used in queries. This is especially necessary when using data of one type to help locate data of another type.  Data types are also used to generate the appropriate masked value when running erasures, since fidesops needs to know the type of data expected by the field in order to generate an appropriate masked value. Available data types are `string`, `integer`, `float`, `boolean`, and `object_id`. `object` types are also supported for MongoDB.
-| `references.length` | *Optional.* An indicator of field length. |
-| `references.return_all_elements` | *Optional.*  For array entrypoint fields, specify whether the query should return/mask all fields, or just matching fields.  By default, we just return/mask matching fields. Setting `return_all_elements=true` will return/mask the entire array. |
-
-### Generate a Dataset
-The Fides [CLI](../cli.md) allows you to both connect to and generate a blank Dataset for your datastores. This blank Dataset does not include any annotations (e.g., Fides data descriptions) or `fidesops_meta` information, but can be used to initially map your databases.
-
-For more information, see [generating resources](./generate_resources.md).
-
-## Configure a manual Dataset
-
-Not all data can be automatically retrieved. When services have no external API, or when user data is held in a physical location, you can define a Dataset to describe the types of manual fields you plan to upload, as well as any dependencies between these manual collections and other collections.
-
-!!! Tip "When a manual Dataset is defined, an in-progress access request will pause until the data is added manually, and then resume execution. For more information, see [resuming a paused request](#resume-a-paused-access-privacy-request)."
-
-### Describe a manual datastore
-
-In the following example, the manual Dataset is a physical location, which contains one `storage_unit` collection. `email` is
-defined as the unit's [identity](#field-members), which will then be used to retrieve the `box_id` in the storage unit.
-
-To add a Manual Dataset, first create a [Manual Connection](./database_connectors.md#examples). The following Manual Dataset can then be [added to](database_connectors.md#associate-a-dataset) the new ConnectionConfig:
-
-```yaml title="<code>PATCH {{host}}/connection/<manual_key>/dataset</code>"
-dataset:
-  - fides_key: manual_input
-    name: Manual Dataset
-    description: Example of a Dataset whose data must be manually retrieved
-    collections:
-      - name: storage_unit
-        fields:
-          - name: box_id
-            data_categories: [ user ]
-            fidesops_meta:
-              primary_key: true
-          - name: email
-            data_categories: [ user.contact.email ]
-            fidesops_meta:
-              identity: email
-              data_type: string
-```
-
-### Resume a paused access privacy request
-
-A privacy request will pause execution when it reaches a manual collection in an access request.  An administrator
-should manually retrieve the data and send it in a POST request.  The fields
-should match the fields on the paused collection.  
-
-Erasure requests with manual collections will also need data manually added as well.
-
-```json title="<code>POST {{host}}/privacy-request/{{privacy_request_id}}/manual_input</code>"
-[{
-    "box_id": 5,
-    "email": "customer-1@example.com"
-}]
-```
-
-If no manual data can be found, pass in an empty list to resume the privacy request:
-
-```json
-[]
-```
-
-### Resume a paused erasure privacy request
-
-A privacy request will pause execution when it reaches a manual collection in an erasure request.  An administrator
-should manually mask the records in question, and send confirmation of the rows affected in a POST request.  
-
-```json title="<code>POST {{host}}/privacy-request/{{privacy_request_id}}/erasure_confirm</code>"
-{"row_count": 2}
-```
-
-If no manual data was destroyed, pass in a count of 0 to resume the privacy request:
-
-```json
-{"row_count": 0}
-```
diff --git a/docs/fides/docs/getting-started/execution_policies.md b/docs/fides/docs/getting-started/execution_policies.md
deleted file mode 100644
index 90a768f887..0000000000
--- a/docs/fides/docs/getting-started/execution_policies.md
+++ /dev/null
@@ -1,131 +0,0 @@
-# Configure Policies
-## What is an execution policy?
-
-An execution policy (separate from a [Policy](../guides/policies.md), used to enforce compliance) is a set of instructions, or Rules, that are executed when a user submits a [request](./privacy_requests.md) to retrieve or delete their data. It describes how to access, mask, or erase data that matches specific data categories in submitted privacy requests.
-
-Each endpoint takes an array of objects to create multiple policies, rules, or targets at one time.
-
-!!! Tip "Regarding `PATCH` endpoints"
-    `PATCH` requests perform the equivalent of a `create_or_update` operation. This means that any existing objects sent to this endpoint will:
-
-    - be updated,
-    - any non-existing objects will be created, AND
-    - any objects existing that are not specified in the request will not be deleted.
-
-## Create a Policy
-
-To create a new execution policy, it must first be defined:
-
-```json title="<code>PATCH /api/v1/policy</code>"
-[
-  {
-    "name": "User Email Address",
-    "key": "user_email_address_policy",
-    "drp_action": "access", // optional
-    "execution_timeframe": 7
-
-  }
-]
-```
-### Policy attributes
-| Attribute | Description |
-|---|---|
-| `name` | User-friendly name for your Policy. |
-| `key` | Unique key by which to reference the Policy. |
-| `drp_action` | *Optional.* A [Data Rights Protocol](../guides/data_rights_protocol.md) action to associate to this policy. Accepted values are `access` (must be used with an [access Rule](#add-a-rule)) or `deletion` (must be used with an [erasure Rule](#add-an-erasure-rule)). |
-| `execution_timeframe` | The time in which to fulfill an associated privacy request, in days. |
-
-## Add a Rule
-The policy creation operation returns an execution policy key. This key can be used to add a Rule to the execution policy. Rules represent a series of information and actions to take when a privacy request of the corresponding `action_type` is submitted.
-
-The following is an example of an access Rule:
-
-```json title="<code>PATCH /api/v1/policy/{policy_key}/rule</code>"
-[
-  {
-    "name": "Access User Email Address",
-    "key": "access_user_email_address_rule",
-    "action_type": "access",
-    "storage_destination_key": "storage_key"
-  }
-]
-```
-### Rule attributes
-| Attribute | Description |
-|---|---|
-| `name` | A user-friendly name for the rule.
-| `action_type` | Which action is this `Rule` handling?
-| `action_type.access` | A data subject access request. Matching data will be returned.
-| `action_type.erasure` | A data subject erasure request (or Right to be Forgotten). Matching data will be erased or [masked](../guides/masking_strategies.md).
-| `storage_destination` | Where Fides will upload the returned data for an `access` action. See [storage](./storage.md). |
-| `masking_strategy` | How to erase data that applies to this `Rule`. See [Configuring Masking Strategies](../guides/masking_strategies.md) |
-
-!!! Note "The `storage_key` must identify an existing [Storage](./storage.md) object."
-
-### Add a Rule Target
-A Rule also specifies one or more [Data Categories](https://ethyca.github.io/fideslang/taxonomy/data_categories/), or "Targets", to which the rule applies. Creating a Rule will return a key, which can be used to assign it one or more targets:
-
-```json title="<code>PATCH /api/v1/policy/{policy_key}/rule/{rule_key}/target</code>"
-[
-  {
-    "name": "Access User Email Address Target",
-    "key": "access_user_email_address_target",
-    "data_category": "user.contact.email",
-  }
-]
-```
-
-| Attribute | Description |
-|---|---|
-| `name` | A user-friendly name for the target.
-| `key` | A unique key to identify the target.
-| `data_category` | The data categories to which the associated rule applies. For example, email addresses under `user.contact.email`. |
-
-### Add an erasure Rule
-!!! Tip "Access rules will always run before erasure rules."
-
-The access execution policy created above will pull all data of category `user.contact.email`. In the event of an erasure request, we might also want to mask this information. 
-
-A new `erasure` rule can be added to the same execution policy: 
-
-```json title="<code>PATCH /api/v1/policy/{policy_key}/rule</code>"
-[
-  {
-    "name": "Mask Provided Emails",
-    "key": "mask_provided_emails",
-    "action_type": "erasure",
-    "masking_strategy": {
-      "strategy": "hash",
-      "configuration": {
-        "algorithm": "SHA-512"
-      },
-    },
-  },
-]
-```
-This will create a Rule to hash an unspecified value with a SHA-512 hash. To add a value to hash, create a new Target for this Rule:
-
-```json title="<code>PATCH api/v1/policy/{policy_key}/rule/{rule_key}</code>"
-  [
-    {
-      "data_category": "user.contact.email",
-    },
-  ]
-```
-
-This execution policy, `user_email_address_policy`, will now do the following:
-- Return all data with a data category that matches (or is nested under) `user.contact`.
-- Mask all data with data category that matches `user.contact.email` with a the `SHA-512` hashing function.
-
-#### Erasing data
-When an execution policy Rule erases data, it erases the _entire_ branch given by the Target. For example, a `user.contact` Rule, will erase _all_ of the information within the `contact` node, including `user.contact.email`.
-
-It's illegal to erase the same data twice within an execution policy. For example, erasing `user.contact` _and_ `user.contact.email` is not allowed.
-
-## Default execution policies
-!!! Tip "These auto-generated execution policies are intended for use in a test environment. In production deployments, configure separate execution policies and storage destinations that target and process the appropriate fields."
-
-Fides ships with two default execution policies: `download` (for access requests) and `delete` (for erasure requests).  
-
-* The `download` execution policy is configured to retrieve `user` data and upload to a local storage location.
-* The `delete` execution policy is set up to mask `user` data with the string "`MASKED`".  
\ No newline at end of file
diff --git a/docs/fides/docs/getting-started/generate_resources.md b/docs/fides/docs/getting-started/generate_resources.md
deleted file mode 100644
index fc6c135ccf..0000000000
--- a/docs/fides/docs/getting-started/generate_resources.md
+++ /dev/null
@@ -1,449 +0,0 @@
-# Generate and Maintain Resources
-
-## What is a resource?
-A _resource_ is a Fides representation of a system, database, policy, or organization. Resources are maintained in YAML manifest files written in [fideslang](https://ethyca.github.io/fideslang/). Generating resources creates a template of your databases, services, or applications for further annotation and use in [privacy requests](./datasets.md) or [data maps](../guides/generate_datamaps.md).
-
-The Fides CLI provides a `generate` command to connect to a database, and automatically generate a resource YAML file based on the database schema. The `scan` command is available to compare your existing resources against what is defined in your Fides server, or against your resource manifest files. 
-
-The `scan` and `generate` commands work best when used in tandem, as they follow an expected resource format. The Fides format must be followed in order to be able to track coverage.
-
-### Providing Credentials
-Database credentials are provided as part of the connection string supplied. The connection string can be supplied as a command option or the fides config.
-
-#### Command Options
-A connection string can be supplied using the `connection-string` option:
-```sh
-...
---connection-string <my_connection_string>
-...
-```
-
-The appropriate `connection-string` format for your database connector can be found in the [SQLAlchemy Documentation](https://docs.sqlalchemy.org/en/14/dialects/).
-
-#### Fides Config
-A connection string can also be defined within your Fides [configuration](../installation/configuration.md) under the `credentials` section.
-
-```sh
-[credentials]
-my_database_credentials = {connection_string="<my_connection_string>"}
-```
-
-Your command can then reference the key defined in your config:
-```sh
-...
---credentials-id "my_database_credentials"
-...
-```
-
-It is possible to use an environment variable to set credentials config values if persisting your connection string to a file is problematic. To set a connection string you can set the environment variable with a prefix of `FIDES__CREDENTIALS__` and `__` as the nested key delimiter:
-```sh
-export FIDES__CREDENTIALS__MY_DATABASE_CREDENTIALS__CONNECTION_STRING="<my_database_credentials>"
-```
-
-### Generating a Dataset
-
-Given a database schema with a single `users` table as follows:
-
-```shell
-flaskr=# SELECT * FROM users;
- id |     created_at      |       email       |              password              | first_name | last_name
-----+---------------------+-------------------+------------------------------------+------------+-----------
-  1 | 2020-01-01 00:00:00 | admin@example.com | pbkdf2:sha256:260000$O87nanbSkl... | Admin      | User
-  2 | 2020-01-03 00:00:00 | user@example.com  | pbkdf2:sha256:260000$PGcBy5NzZe... | Example    | User
-(2 rows)
-```
-
-We can invoke the `generate` command by providing a connection url for this database:
-```sh
-./venv/bin/fides generate dataset db \
-  fides_resources/flaskr_postgres_dataset.yml \
-  --connection-string postgresql://postgres:postgres@localhost:5432/flaskr
-```
-
-The result is a resource file with a dataset with collections and fields to represent our schema:
-```yaml
-dataset:
-- fides_key: public
-  organization_fides_key: default_organization
-  name: public
-  description: 'Fides Generated Description for Schema: public'
-  meta: null
-  data_categories: []
-  data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-  collections:
-  - name: public.users
-    description: 'Fides Generated Description for Table: public.users'
-    data_categories: []
-    data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-    fields:
-    - name: created_at
-      description: 'Fides Generated Description for Column: created_at'
-      data_categories: []
-      data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-    - name: email
-      description: 'Fides Generated Description for Column: email'
-      data_categories: []
-      data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-    - name: first_name
-      description: 'Fides Generated Description for Column: first_name'
-      data_categories: []
-      data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-    - name: id
-      description: 'Fides Generated Description for Column: id'
-      data_categories: []
-      data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-    - name: last_name
-      description: 'Fides Generated Description for Column: last_name'
-      data_categories: []
-      data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-    - name: password
-      description: 'Fides Generated Description for Column: password'
-      data_categories: []
-      data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-```
-The resulting file still requires annotating the dataset with data categories to represent what is stored. 
-
-!!! Tip "**To use this Dataset in a Privacy Request,** you must add required [meta information](./datasets.md)."
-
-<!-- TODO: Add a section for `annotate dataset` usage below -->
-
-### Scanning the Dataset
-
-The `scan` command can then connect to your database and compare its schema to your defined Datasets.
-```sh
-./venv/bin/fides scan dataset db \
-  fides_resources/flaskr_postgres_dataset.yml \
-  --connection-string postgresql://postgres:postgres@localhost:5432/flaskr
-```
-
-The command output confirms our database resource is covered fully:
-```sh
-Loading resource manifests from: dataset.yml
-Taxonomy successfully created.
-Successfully scanned the following datasets:
-	public
-
-Annotation coverage: 100%
-```
-
-## Working With an AWS Account
-The `generate` command can connect to an AWS account and automatically generate resource YAML file based on tracked resources.
-
-!!! Tip "Generated resources can be used as System declarations for [generating Data Maps](../guides/generate_datamaps.md)."
-
-### Providing Credentials
-AWS credentials can be provided through command options, environment variables or the fides config.
-
-#### Command Options
-Credentials can be directly supplied in your command using the `access_key_id`, `secret_access_key`, and `region` options.
-```sh
-...
---access_key_id "<my_access_key_id>"
---secret_access_key "<my_secret_access_key>"
---region "us-east-1"
-...
-```
-
-#### Environment Variables
-The simplest way to authenticate through environment variables is to set an `SECRET_ACCESS_KEY` and `ACCESS_KEY_ID`, as defined by [boto3](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/configuration.html#using-environment-variables):
-```sh
-export AWS_ACCESS_KEY_ID="<my_access_key_id>"
-export AWS_SECRET_ACCESS_KEY="<my_access_key>"
-export AWS_DEFAULT_REGION="us-east-1"
-```
-
-It is also possible to reference a profile:
-```sh
-export AWS_PROFILE="my_profile_1"
-export AWS_DEFAULT_REGION="us-east-1"
-```
-
-#### Fides Config
-Credentials can be defined within your [Fides config](../installation/configuration.md) under the credentials section.
-
-```sh
-[credentials]
-my_aws_credentials = {aws_access_key_id="<my_aws_access_key_id>", aws_secret_access_key="<my_aws_secret_access_key>", region_name="us-east-1"}
-```
-
-Your command can then reference the key defined in your config.
-```sh
-...
---credentials-id "my_aws_credentials"
-...
-```
-
-It is possible to use an environment variable to set credentials config values if persisting your keys to a config file is problematic. To set a secret access key and id, you can set the environment variable with a prefix of `FIDES__CREDENTIALS__` and `__` as the nested key delimiter:
-```sh
-export FIDES__CREDENTIALS__MY_AWS_CREDENTIALS__AWS_ACCESS_KEY_ID="<my_aws_access_key_id>"
-export FIDES__CREDENTIALS__MY_AWS_CREDENTIALS__AWS_SECRET_ACCESS_KEY="<my_aws_secret_access_key>"
-```
-### Required Permissions
-
-The identity which is authenticated must be allowed to invoke the following actions:
-
-- redshift:DescribeClusters
-- rds:DescribeDBInstances
-- rds:DescribeDBClusters
-
-#### Sample IAM Policy
-
-These permissions can be supplied in an IAM policy:
-
-```json
-{
-    "Version": "2012-10-17",
-    "Statement": [
-        {
-            "Effect": "Allow",
-            "Action": [
-                "redshift:DescribeClusters",
-                "rds:DescribeDBInstances",
-                "rds:DescribeDBClusters",
-                "tag:GetResources",
-            ],
-            "Resource": "*"
-        }
-    ]
-}
-```
-
-### Filtering AWS Resources
-
-It is possible to filter resources at the organization level by adding a resource filter within `fidesctl_meta`. The `ignore_resource_arn` filter can exclude any resources with an exact matching Amazon Resource Name (ARN) and also supports wildcards in individual ARN fields. An empty ARN field in the filter pattern works as a wildcard.
-
-The filter can be added to the organization model within your manifest file:
-```yaml
-organization:
-- fides_key: default_organization
-  name: default_organization
-  fidesctl_meta:
-    resource_filters:
-    - type: ignore_resource_arn
-      value: 'arn:aws:rds:us-east-1:910934740016:db:database-2'
-```
-
-In the above example we explicitly ignore a single rds database but if we wanted to ignore all rds databases we could remove the partition, account id, region and database name ARN fields:
-```yaml
-resource_filters:
-- type: ignore_resource_arn
-  value: 'arn::rds:::db:'
-```
-
-Any ARN field can be wildcarded by leaving it empty.
-### Generating Systems
-
-Once credentials have been configured we can invoke the `generate system aws` command:
-```sh
-./venv/bin/fides generate system aws \
-  fides_resources/aws_systems.yml
-```
-
-The result is a resource file with a system that represents a redshift cluster defined in our account:
-```yaml
-system:
-- fides_key: my_redshift_cluster
-  organization_fides_key: default_organization
-  name: my_redshift_cluster
-  description: 'Fides Generated Description for Cluster: my_redshift_cluster'
-  fidesctl_meta:
-    endpoint_address: my_redshift_cluster.us-east-1.redshift.amazonaws.com
-    endpoint_port: '5439'
-    resource_id: arn:aws:redshift:us-east-1:910934740016:namespace:057d5b0e-7eaa-4012-909c-3957c7149176
-  system_type: redshift_cluster
-  privacy_declarations: []
-```
-### Scanning the Systems
-
-The `scan` command can then connect to your AWS account and compare its resources to your already defined systems:
-```sh
-./venv/bin/fides scan system aws \
-  fides_resources/aws_systems.yml
-```
-
-The command output confirms our resources are covered fully:
-```sh
-Loading resource manifests from: manifest.yml
-Taxonomy successfully created.
-Scanned 1 resource and all were found in taxonomy.
-Resource coverage: 100%
-```
-## Working With an Okta Account
-The `generate` command can connect to an Okta admin account and automatically generate resource YAML file based on applications your organization integrates with.
-
-!!! Tip "Generated resources can be used as System declarations for [generating Data Maps](../guides/generate_datamaps.md)."
-
-### Providing Credentials
-Okta credentials can be provided through command options, environment variables or the Fides config.
-
-#### Command Options
-Credentials can be directly supplied in your command using the `org-url` and `token` options.
-```sh
-...
---token "<my_okta_client_token>"
---org-url "<my_okta_org_url>"
-...
-```
-
-#### Environment Variables
-The simplest way to authenticate is by using a client token, defined by the [Okta Python SDK](https://github.com/okta/okta-sdk-python#environment-variables):
-```sh
-export OKTA_CLIENT_TOKEN="<my_okta_client_token>"
-```
-
-It is also possible to authenticate using OAuth 2.0:
-```sh
-export OKTA_CLIENT_AUTHORIZATIONMODE="PrivateKey"
-export OKTA_CLIENT_CLIENTID="<my_client_id>"
-export OKTA_CLIENT_SCOPES="<my_scope_1,my_scope_2>"
-export OKTA_CLIENT_PRIVATEKEY="<my_private_jwk>"
-```
-
-#### Fides Configuration
-Credentials can be defined within your [Fides config](../installation/configuration.md) under the credentials section.
-
-```sh
-[credentials]
-my_okta_credentials = {orgUrl="<my_okta_org_url>" token="<my_okta_client_token>"}
-```
-
-Your command can then reference the key defined in your config.
-```sh
-...
---credentials-id "my_okta_credentials"
-...
-```
-
-It is possible to use an environment variable to set credentials config values if persisting your token to a file is problematic. To set a token, you can set the environment variable with a prefix of `FIDES__CREDENTIALS__` and `__` as the nested key delimiter:
-```sh
-export FIDES__CREDENTIALS__MY_OKTA_CREDENTIALS__TOKEN="<my_okta_client_token>"
-```
-
-### Generating Systems
-
-Once credentials have been configured we can invoke the `generate system okta` command:
-```sh
-./venv/bin/fides generate system okta
-  fides_resources/okta_systems.yml
-```
-
-The result is a resource file with systems that represent our application integrations:
-```yaml
-system:
-- fides_key: 0oa4jejqcp74R9MpJ5d7
-  organization_fides_key: default_organization
-  name: salesforce
-  description: 'Fides Generated Description for Okta Application: Salesforce.com'
-  fidesctl_meta:
-    resource_id: 0oa4jejqcp74R9MpJ5d7
-  privacy_declarations: []
-- fides_key: 0oa4jekd00tpvn5hN5d7
-  organization_fides_key: default_organization
-  name: google
-  description: 'Fides Generated Description for Okta Application: Google Workspace'
-  fidesctl_meta:
-    resource_id: 0oa4jekd00tpvn5hN5d7
-  privacy_declarations: []
-```
-### Scanning the Systems
-
-The `scan` command can then connect to your Okta account and compare its applications to your already defined systems:
-```sh
-./venv/bin/fides scan system okta \
-  fides_resources/okta_systems.yml
-```
-
-The command output confirms our resources are covered fully:
-```sh
-Loading resource manifests from: manifest.yml
-Taxonomy successfully created.
-Successfully scanned the following systems:
-	saasure(id=0oa4h45lj1tcpqU6W5d7)
-	okta_enduser(id=0oa4h45ln0xLKJnAw5d7)
-	okta_browser_plugin(id=0oa4h45lnodX7MHJB5d7)
-	salesforce(id=0oa4jejqcp74R9MpJ5d7)
-	google(id=0oa4jekd00tpvn5hN5d7)
-
-Resource coverage: 100%
-```
-
-## Working With a GCP Account
-
-The `generate` command can connect to a GCP account and automatically generate resource YAML files based on tracked resources. Currently, generating datasets from BigQuery is supported.
-
-### Providing Credentials
-
-GCP credentials can be generated via a [service account keyfile](https://cloud.google.com/iam/docs/creating-managing-service-account-keys#creating) which can be passed as a command option or the fides config. You will need to set project specific credentials for access rights, but datasets can be passed explicitly at runtime.
-
-#### Command Options
-
-The path to the keyfile can be directly supplied in your command using the `keyfile_path` option.
-```sh
-...
---keyfile-path "/path/to/keyfile.json"
-...
-```
-
-#### Fides Config
-Credentials can be defined within your [fides config](../installation/configuration.md) under the credentials section.
-
-```toml
-[credentials.bigquery_1]
-type = "service_account"
-project_id = "<my_project_id>"
-private_key_id = "<my_private_key_id>"
-private_key = "<my_private_key>"
-client_email = "<my_client_email>"
-client_id = "<my_client_id>"
-auth_uri = "https://accounts.google.com/o/oauth2/auth"
-token_uri = "https://oauth2.googleapis.com/token"
-auth_provider_x509_cert_url = "https://www.googleapis.com/oauth2/v1/certs"
-client_x509_cert_url = "<my_cert_url>"
-```
-
-Your command can then reference the key defined in your config.
-```sh
-...
---credentials-id "my_gcp_credentials"
-...
-```
-
-It is possible to use an environment variable to set credentials config values if persisting your keys to a config file is problematic. To set a secret access key and id, you can set the environment variable with a prefix of `FIDES__CREDENTIALS__` and `__` as the nested key delimiter:
-```sh
-export FIDES__CREDENTIALS__BIGQUERY_1__PRIVATE_KEY="<my_private_key>"
-export FIDES__CREDENTIALS__BIGQUERY_1__CLIENT_ID="<my_client_id>"
-```
-
-### Generating a Dataset
-
-Once credentials have been configured, the `generate dataset gcp bigquery` command can take both a configuration option and a dataset name to create the resource file.
-
-```sh
-./venv/bin/fides generate dataset gcp bigquery \
-  <dataset_name> --keyfile-path ".fides/creds/bigquery.json" \
-  <output_file_name>
-```
-
-The result is a resource file with a dataset that represents the bigquery dataset defined in your account.
-
-```yaml
-dataset:
-- fides_key: my_bigquery_dataset
-  organization_fides_key: default_organization
-  name: bigquery dataset
-  description: 'Fides Generated Description for Schema: BigQuery'
-  data_categories: []
-  data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-  retention: No retention or erasure policy
-  collections:
-  - name: table
-    description: 'Fides Generated Description for Table: table'
-    data_categories: []
-    data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-    fields:
-    - name: column
-      description: 'Fides Generated Description for Column: column'
-      data_categories: []
-      data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-...
-```
diff --git a/docs/fides/docs/getting-started/privacy_requests.md b/docs/fides/docs/getting-started/privacy_requests.md
deleted file mode 100644
index e1b85298a6..0000000000
--- a/docs/fides/docs/getting-started/privacy_requests.md
+++ /dev/null
@@ -1,161 +0,0 @@
-# Execute Privacy Requests
-## What is a Privacy Request?
-
-A privacy request represents an ask from a user to perform an action on their identity data. The request itself identifies the user by email address, phone number, social security number, or other identifiable information. The data that will be affected, and how it's affected, is described in an execution policy associated with the request.
-
-For more information on policies, see the [execution policies](./execution_policies.md#rule-attributes) guide.
-
-## Submit a privacy request
-
-!!! Tip "Privacy Requests are executed immediately by default. This setting may be changed in your `fides.toml` configuration file."
-
-Privacy requests are submitted by calling the [Privacy Request](../api/index.md#operations-tag-Privacy_Requests) endpoint:
-
-```json title="<code>POST /api/v1/privacy-request</code>"
-[
-  {
-    "external_id": "a-user-defined-id",
-    "requested_at": "2021-10-31T16:00:00.000Z",
-    "policy_key": "a-demo-policy",
-    "identity": {
-      "email": "identity@example.com",
-      "phone_number": "+1 (123) 456 7891"
-    }
-  }
-]
-```
-
-The above request will apply the `a-demo-policy` execution policy to all target data that can be generated from the email address `identity@example.com`, and the phone number `+1 (123) 456 7891`. 
-
-| Attribute | Description |
-|---|---|
-| `external_id` | *Optional.* An identifier that lets you track the privacy request. See [Report on Privacy Requests](../guides/reporting.md) for more information. |
-| `requested_at` | *Optional.* An ISO8601 timestamp that specifies the moment that the request was submitted. Defaults to the `created_at` time if not specified. |
-| `policy_key` | Identifies the [execution policy](./execution_policies.md) applied to this request. |
-| `identities` | An array of objects. These objects identify any users whose data will be affected by the execution policy. Each object identifies a single user.  |
-
-A full list of attributes available to set on a privacy request can be found in the [API documentation](../api/index.md#operations-tag-Privacy_Requests).
-
-
-### Enable subject identity verification 
-Verifying user identity prior to processing their privacy request requires the following:
-
-1. Set the `subject_identity_verification_required` variable in your `fides.toml` to `TRUE`. 
-2. [Configure Messaging](../guides/messaging.md) that lets Fides send automated emails or text messages to your users.
-
-With identify verification enabled, a user will be sent a six-digit code when they submit a privacy request. They must supply that verification code to Fides to continue privacy request execution.  
-
-Until the Privacy Request identity is verified, it will have a status of `identity_unverified`:
-
-```json title="<code>POST api/v1/privacy-request/<privacy_request_id>/verify</code>"
-{"code": "<verification code here>"}
-```
-
-## Privacy request actions
-### Approve and deny privacy requests
-
- Fides processes privacy requests immediately by default. To review privacy requests before they are executed, the `require_manual_request_approval` variable in your `fides.toml` must be set to `TRUE`.
-
-To process pending privacy requests, a list of privacy request IDs must be sent to the `approve` or `deny` endpoints. Both endpoints support processing requests in bulk.
-
-```json title="<code>PATCH api/v1/privacy-request/administrate/approve</code>"
-{
-  "request_ids":[
-    "pri_2d181f15-486d-4bcf-a871-f50ed9f95673",
-    "pri_2d181f15-486d-4bcf-a871-f50ed9f95673"
-  ]
-}
-```
-
-An optional denial reason can be provided when denying a privacy request:
-```json title="<code>PATCH api/v1/privacy-request/administrate/deny</code>"
-{
-  "request_ids":[
-    "pri_2d181f15-486d-4bcf-a871-f50ed9f95673",
-    "pri_2d181f15-486d-4bcf-a871-f50ed9f95673"
-  ],
-  "reason": "Requests denied because they're duplicates"
-}
-```
-
-### Monitor ongoing requests
-Privacy requests can be monitored at any time throughout their execution by calling either of the following endpoints:
-
-```
-GET api/v1/privacy-request?request_id=<privacy_request_id>
-```
-
-```
-GET api/v1/privacy-request?external_id=<external_id>
-```
-
-For more detailed examples and further privacy request filtering, see [Reporting on Privacy Requests](../guides/reporting.md).
-
-### Restart failed requests
-To restart a failed privacy request, call the following endpoint with an empty request body:
-
-```
-POST /api/v1/privacy-request/<privacy_request_id>/retry
-```
-
-## Encrypt your requests
-Access request results can be optionally encrypted by supplying an `encryption_key` string in the request body. Fides uses the supplied `encryption_key` to encrypt the contents of your JSON and CSV results using an AES-256 algorithm in GCM mode.
-
-When converted to bytes, your `encryption_key` must be 16 bytes long. The data returned will have the nonce concatenated 
-to the encrypted data.
-
-```json title="<code>POST /privacy-request</code>"
-[
-    {
-        "requested_at": "2021-08-30T16:09:37.359Z",
-        "identity": {"email": "customer-1@example.com"},
-        "policy_key": "my_access_policy",
-        "encryption_key": "test--encryption"
-    }
-]
-
-```
-
-### Decrypt your results
-
-If you specified an encryption key, Fides encrypted the result data using your key and an internally-generated `nonce` with an AES 256 algorithm in GCM mode. The return value is a 12-byte nonce plus the encrypted data that is b64 encoded together.
-
-```
-+------------------+-------------------+
-| nonce (12 bytes) | message (N bytes) |
-+------------------+-------------------+
-```
-
-For example, if you specified an encryption key of `test--encryption`, and resulting data was uploaded to
-S3 in a JSON file `GPUiK9tq5k/HfBnSN+J+OvLXZ+GCisapdI2KGP7A1WK+dz1XHef+hWb/SjszdqdNVGvziyY6GF5KIrvrXgxjZuaAvgU='`, you would
-need to implement something similar to the snippet below to decrypt the result:
-
-```python title="Sample decryption"
-import json
-import base64
-from cryptography.hazmat.primitives.ciphers.aead import AESGCM
-
-encrypted: str = "GPUiK9tq5k/HfBnSN+J+OvLXZ+GCisapdI2KGP7A1WK+dz1XHef+hWb/SjszdqdNVGvziyY6GF5KIrvrXgxjZuaAvgU=" 
-encryption_key: str = "test--encryption".encode("utf-8")  # Only you know this
-
-encrypted_combined: bytes = base64.b64decode(encrypted)
-nonce: bytes = encrypted_combined[0:12]
-encrypted_message: bytes = encrypted_combined[12:]
-gcm = AESGCM(encryption_key)
-
-decrypted_bytes: bytes = gcm.decrypt(nonce, encrypted_message, nonce)
-decrypted_str: str = decrypted_bytes.decode("utf-8")
-
-json.loads(decrypted_str)
-```
-
-```python title="Sample result"
->>> {"street": "test street", "state": "NY"}
-```
-
-If CSV data was uploaded, each CSV in the zipfile was encrypted using a different nonce, so you'll need to follow
-a similar process for each CSV file.
-
-## Privacy request integrations
-
-* **Generic API interoperability**: Third party services can be authorized by creating additional OAuth clients. Tokens obtained from OAuth clients can be managed and revoked at any time. See [authenticating with OAuth](../guides/oauth.md) for more information.
\ No newline at end of file
diff --git a/docs/fides/docs/getting-started/sample_project.md b/docs/fides/docs/getting-started/sample_project.md
deleted file mode 100644
index 765a6f1a5c..0000000000
--- a/docs/fides/docs/getting-started/sample_project.md
+++ /dev/null
@@ -1,49 +0,0 @@
-# Run the Fides Sample Project
-
-In order to get started quickly with Fides, a sample project is bundled within the Fides CLI that will set up a server, privacy center, and a sample application for you to experiment with.
-
-To Fides in your own infrastructure, see the provided [DSR Automation](../dsr_quickstart/basic_setup.md) guide. 
-
-## Deployment Steps
-
-### Minimum requirements 
-
-*  [Docker](https://www.docker.com/products/docker-desktop) (version 20.10.11 or later)
-*  [Python](https://www.python.org/downloads/) (version 3.8 through 3.10) 
-### Download and install Fides
-You can easily download and install the Fides demo using `pip`. Run the following command to get started:
-
-```
-pip install ethyca-fides
-```
-
-### Deploy the Fides sample project
-By default, Fides ships with a small project belonging to a fictional e-commerce store. Running the `deploy up` command builds a Fides project with all you need to run your first Data Subject Request against real databases.
-
-```
-fides deploy up
-```
-
-!!! Warning "If running `fides deploy` as part of a local fides development environment, refer to the [local documentation](../development/dev_deployment.md) instead."
-
-### Exploring the sample project
-When your deployment finishes, a welcome screen will explain the key components of Fides and the sample Cookie House store. 
-
-If your browser does not open automatically, you should navigate to http://localhost:3000.
-
-The project contains:
-
-* The Fides [Admin UI](../ui/overview.md) for managing privacy requests
-* The Fides [Privacy Center](../ui/privacy_center.md) for submitting requests
-* The sample Cookie House eCommerce site for testing
-* A DSR Directory on your computer to view results
-
-### Run your first Privacy Access Request
-Navigate to the Fides Privacy Center, type in the email address for the sample user (`jane@example.com`), and submit the request.
-
-Then, navigate  to the Fides Admin UI to review the pending privacy request.
-
-Approve the request, and review the resulting package! 
-
-## Next steps
-Congratulations! You've just run an entire privacy request in under 5 minutes! Fides offers many more tools help take control of your data privacy. To find out more, you can run a privacy request on [your own infrastructure](../dsr_quickstart/basic_setup.md), discover [data mapping](../guides/generate_datamaps.md), or learn about the [Fides Taxonomy](https://ethyca.github.io/fideslang/).
\ No newline at end of file
diff --git a/docs/fides/docs/getting-started/storage.md b/docs/fides/docs/getting-started/storage.md
deleted file mode 100644
index baa5ab6ba0..0000000000
--- a/docs/fides/docs/getting-started/storage.md
+++ /dev/null
@@ -1,135 +0,0 @@
-# Configure Storage Destinations
-
-## What is a storage destination?
-Access requests produce a package of returned data upon completion. This data will need to be uploaded to a storage destination (e.g. an S3 bucket) in order to be returned to the user.
-
-!!! Tip "Fides never stores privacy request results locally. At least one storage destination must be configured if you wish to process access requests."
-
-Storage destinations are associated to execution policies in their [Rules](./execution_policies.md#add-a-rule), allowing multiple storage destinations to be configured per execution policy.
-
-![Storage Destinations](../img/storage_destinations.png "Storage Destinations")
-
-## Create a storage destination
-### Configure your storage method
-To configure a Storage destination, first choose a method to store your results. Fides currently supports the following methods of storage:
-
-- **local** - This saves upload packages locally, generating a `fides_uploads` directory at the root of your project. This destination type should only be used for testing purposes, and not to process real-world access requests.
-- **S3** - Files are uploaded to an S3 bucket of your choosing upon completion of an access request. Use S3 if you need a place to store those files.
-
-
-### Create your storage destination
-Storage destinations are created and managed via the API. To create a new Storage destination, use the following endpoint:
-
-```json title="<code>PATCH {host}/api/v1/storage/config</code>"
-  {
-    "destinations": [
-      {
-        "name": str,
-        "key": FidesKey (optional),
-        "type": str,
-        "format": str
-        "details": {
-          # s3
-          "auth_method": str,
-          "bucket": str,
-          "naming": str,
-        }
-      }
-    ]
-  }
-
-```
-
-#### Destination attributes
-| Attribute | Description |
-|---|---|
-| `name` | A unique user-friendly name for your storage destination. |
-| `key` | A unique key used to manage your storage destination. This is auto-generated from `name` if left blank. Accepted values are alphanumeric, `_`, and `.`. |
-| `type` | Type of storage destination. Supported types include `s3`, and `local`. You may configure multiple destinations of the same type. |
-| `format` | The format of uploaded data. Supported formats include `json` and `csv`. |
-
-#### Additional attributes for s3 buckets
-| Attribute | Description |
-|---|---|
-| `auth_method` | The [authentication method](#authentication) for creating a session with S3. Either `automatic` or `secret_keys`. |
-| `bucket` | The name of the bucket in S3. |
-| `naming` | This defines how the uploaded files will be named. Currently, Fides only supports upload file naming by `request_id`. Use this value for all your storage destinations. |
-
-#### Additional attributes for local storage
-| Attribute | Description |
-|---|---|
-| `naming` | This defines how the uploaded files will be named. Currently, Fides supports upload file naming by `request_id`. Use this value for all your storage destinations. |
-
-On success, the response from the above endpoint will include a `storage_key` for each destination, which can be used when defining execution policy [Rules](./execution_policies.md#add-a-rule).
-
-```json title="Example response"
-{
-    "items": [
-        {
-            "id": "sto_fe4e4dc0-b5d3-4ac1-bfcd-86e60e9891b9",
-            "name": "s3 storage 2",
-            "type": "s3",
-            "details": {
-                "auth_method": "secret_keys",
-                "bucket": "my-bucket",
-                "naming": "request_id"
-            },
-            "key": "s3_storage_2"
-        }
-    ],
-    "total": 1,
-    "page": 1,
-    "size": 1
-}
-```
-
-### Authenticate with your destination
-Fides requires authenticated access to update and erase/mask data in your storage destination. 
-
-Use `storage_key` returned during your storage creation to provide access credentials:
-
-```json title="<code>PUT {host}/api/v1/storage/config/{storage_key}/secret</code>"
-  {
-    # s3
-    "aws_access_key_id": str,
-    "aws_secret_access_key": str
-  }
-
-```
-
-#### Additional attributes for S3 buckets
-!!! Tip "Fides supports automatically creating a session for S3. If your `auth_method` is set to `automatic`, no secrets need to be provided. Boto3 will look for credentials on the server."
-
-| Attribute | Description |
-|---|---|
-| `aws_access_key_id` | AWS access key id, obtained from AWS console. |
-| `aws_secret_access_key` | AWS secret access key, obtained from AWS console. |
-
-Secrets are not saved if credentials fail authentication with the given storage destination.
-
-## Test your storage connection
-
-To test that your storage destination works correctly, you can call the `upload` endpoint directly. Specify a `request_id` in the path with an arbitrary string:
-
-```json title="<code>PUT {host}/api/v1/storage/{request_id}</code>"
-  {
-    "storage_key": {storage_key},
-    "data": {
-      #data here
-    }
-  }
-
-```
-
-| Attribute | Description |
-|---|---|
-| `storage_key` | The key associated with the storage destination. |
-| `data` | A dictionary of arbitrary data you wish to upload to storage destination. |
-
-
-## Extensibility
-Fides can be extended to support additional storage destinations by:
-
-1. Adding destination-specific enums in `src/fides/ops/schemas/storage/storage.py`
-2. Implementing an authenticator in `src/fides/ops/service/storage/storage_authenticator_service.py`
-3. Implementing the uploader in `src/fides/ops/service/storage/storage_uploader_service.py`
diff --git a/docs/fides/docs/glossary.md b/docs/fides/docs/glossary.md
deleted file mode 100644
index e0728f49f3..0000000000
--- a/docs/fides/docs/glossary.md
+++ /dev/null
@@ -1,23 +0,0 @@
-# Glossary of Key Terms
-
-| Term | Definition |
-| --- | --- |
-| [Connection](./getting-started/database_connectors.md) |  A configuration for how to connect a database or application to Fides. |
-| [Data Category](https://ethyca.github.io/fideslang/taxonomy/data_categories/) |  *What kind of data is it?*  For example, the Data Category `user` includes things like contact email and street address. |
-| [Data Qualifier](https://ethyca.github.io/fideslang/taxonomy/data_qualifiers/) | *How is the data being protected?* For example, it might be `aggregated`.
-| [Data Subjects](https://ethyca.github.io/fideslang/taxonomy/data_subjects/) | *Whose data is it?* For example, a `customer`.
-| [Data Uses](https://ethyca.github.io/fideslang/taxonomy/data_uses/) | *Why is it being used?*  For example, for `advertising` or to `improve` the system.
-| [Dataset](https://ethyca.github.io/fideslang/resources/dataset/) | An annotation of a database schema, which describes the Collections in a database, the Fields, the Data Categories of those fields, and the relationships between relevant Collections.
-| [Execution Policy](./getting-started/execution_policies.md) |  Different from a Policy, this is a configuration that describes what happens when a privacy request is processed. An execution policy might define that when given an email, it locates all the related data the customer has provided to you, and uploads that to a specific S3 bucket. |
-| Identity | A piece of information used to uniquely identify an individual, like an email or a phone number. |
-| [Identity Graph](./guides/query_execution.md) |  A mapping that knows where personal data lives, and how to look it up.  For example, you might have photos stored in a MySQL database, and customer information stored in a PostgreSQL database.  The identity graph might say to get the customer ID from the PostgreSQL database, and use that to look up the customer's photo in the MySQL database. |
-| [Masking Strategy](./guides/masking_strategies.md) | How to erase or mask customer data. |
-| [Pre-Webhook](./guides/policy_webhooks.md) |  Webhooks triggered on an execution policy **before** a Privacy Request is executed. |
-| [Policy](./guides/policies.md) | A Policy controls what kinds of data you are permitted to commit to source code. |
-| Resource | A Manifest file Fides uses to describe part of your infrastructure, written in [fideslang](https://ethyca.github.io/fideslang/).  |
-| [Post-Webhook](./guides/policy_webhooks.md) | Webhooks triggered on an execution policy **after** a Privacy Request is executed. |
-| [Storage](./getting-started/storage.md) | Where the customer's data will be sent after an access request is completed. |
-| [Privacy Request](./getting-started/privacy_requests.md) | A privacy request is a Fides representation of what is more widely known as a Data Subject Request, or Data Subject Access Request. **Access requests** are made when a customer wants to see the data an organization has collected about them. **Erasure requests** are made when a customer wants an organization to delete the data they have collected about them. |
-| [System](https://ethyca.github.io/fideslang/resources/sysem/) | Systems represent the applications, services, integrations, and any software that processes data for a specific use case. |
-| [Traversal](./guides/query_execution.md) | Created from an identity and an identity graph, a traversal defines how to best move through and retrieve information from your connected resources. |
-| Manifest | YAML files that describe different types of objects within Fides, written in [fideslang](https://ethyca.github.io/fideslang/). |
\ No newline at end of file
diff --git a/docs/fides/docs/guides/complex_fields.md b/docs/fides/docs/guides/complex_fields.md
deleted file mode 100644
index 4efb817fd2..0000000000
--- a/docs/fides/docs/guides/complex_fields.md
+++ /dev/null
@@ -1,248 +0,0 @@
-# Annotate Complex Fields
-
-Fides can retrieve and mask data from complex objects and arrays in MongoDB. This involves annotating your dataset files to let Fides know about your complex data.
-
-## Declare an object field
-To declare an `object` field, define nested fields underneath that field. In the example below, `workplace_info` is an object field with two nested fields: `employer` and `position`.
-
-Data categories cannot be specified at the `object` level due to potential conflicts with nested fields. Instead, annotate the scalar fields within the object field.  Here, the `workplace_info.position` field has `data_category: user.job_title`.
-
-```yaml
-dataset:
-  - fides_key: mongo_nested_object_example
-    name: Mongo Example with Nested Objects
-    description: Example of a Mongo dataset that contains 'details' about customers defined in the 'postgres_example_test_dataset'
-    collections:
-      - name: customer_details
-        fields:
-          - ...
-          - name: workplace_info
-            fidesops_meta:
-                data_type: object
-            fields:
-              - name: employer
-                fidesops_meta:
-                  data_type: string
-              - name: position
-                data_categories: [ user.job_title ]
-                fidesops_meta:
-                  data_type: string
-              - name: id
-```
-
-## Reference a nested field
-To define a relationship between a field on one collection and a nested field on another collection, use dot notation in the `fidesops_meta` references for as many levels are necessary.
-
-In the example below, this field is denoted by `<collection_name>.<field_name>.<sub_field>` name, or
-`customer_details.workplace_info.id`.
-
-This relationship could also be defined on the `customer_details.workplace_info.id` field itself,
-with a direction of `from`, with field `mydatabase.customer.workplace_id`, and dataset `mydatabase`.
-
-```yaml
-dataset:
-  - fides_key: mydatabase
-    name: internal database
-    description: our internal database of customer data
-    collections:
-      - name: customer
-        fields:
-          - name: workplace_id
-            data_categories: [system.operations]
-            fidesops_meta:
-              references:
-                - dataset: mongo_nested_object_example
-                  field: customer_details.workplace_info.id
-                  direction: to
-          ...
-
-```
-
-## Declare an array field
-There is no official `array` type. Instead, an array is represented by a `[]` flag on a field.
-
-### Declare an array of scalar values
-In this example, the `mydatabase:customer` collection has a `travel_identifiers` field that is an string array,
-described by `data_type: string[]`.  An array of integers would be described by `data_type: integer[]`.
-
-```yaml
-dataset:
-  - fides_key: mydatabase
-    name: internal database
-    description: our internal database of customer data
-    collections:
-      - name: customer
-        fields:
-          - ...
-          - name: travel_identifiers
-            fidesops_meta:
-              data_type: string[]
-              data_categories: [system.operations]
-```
-
-### Declare a nested array
-In this example, the `mydatabase:customer` collection has a nested `workplace_info.direct_reports` string array.
-
-We define `direct_reports` as a subfield under `workplace_info`, as well as add the data_type `string[]` to `direct_reports`.
-
-```yaml
-dataset:
-  - fides_key: mydatabase
-    name: internal database
-    description: our internal database of customer data
-    collections:
-      - name: customer
-        fields:
-          - name: workplace_info
-            fidesops_meta:
-              data_type: object
-            fields:
-              - name: employer
-                fidesops_meta:
-                  data_type: string
-              - name: position
-                data_categories: [ user.job_title ]
-                fidesops_meta:
-                  data_type: string
-              - name: direct_reports
-                data_categories: [ user.name ]
-                fidesops_meta:
-                  data_type: string[]
-```
-
-### Declare an array of objects
-In this example, the `mydatabase:customer` collection has an `emergency_contacts` object array field, or
-embedded documents, denoted by `data_type: object[]`. Each object in the `emergency_contacts` array can contain a 
-`name`, `relationship`, and `phone` field.
-
-```yaml
-dataset:
-  - fides_key: mydatabase
-    name: internal database
-    description: our internal database of customer data
-    collections:
-      - name: customer
-        fields:
-          - name: emergency_contacts
-            fidesops_meta:
-              data_type: object[]
-            fields:
-              - name: name
-                data_categories: [ user.name ]
-                fidesops_meta:
-                  data_type: string
-              - name: relationship
-                fidesops_meta:
-                  data_type: string
-              - name: phone
-                data_categories: [ user.contact.phone_number ]
-                fidesops_meta:
-                  data_type: string
-```
-
-### Reference an array
-Reference an array field as if it is any other field. You cannot currently reference a specific index in an array field, but Fides will search an array field for matches.
-
-In this example, `mydatabase:flights.plane` is an integer field that will be used to lookup records that match an integer
-in the `mydatabase:aircraft.planes` array.
-
-```yaml
-dataset:
-  - fides_key: mydatabase
-    name: internal database
-    description: our internal database of customer data
-    collections:
-     - name: flights
-        fields:
-          - ...
-          - name: passenger_information
-            fields:
-              - name: passenger_ids
-                fidesops_meta:
-                  data_type: string[]
-          - name: plane
-            data_categories: [ system.operations ]
-            fidesops_meta:
-              data_type: integer
-      - name: aircraft
-        fields:
-          - name: _id
-            data_categories: [ system.operations ]
-            fidesops_meta:
-              primary_key: True
-              data_type: object_id
-          - name: planes
-            data_categories: [ system.operations ]
-            fidesops_meta:
-              data_type: integer[]
-              references:
-                - dataset: mydatabase
-                  field: flights.plane
-                  direction: from
-          - name: model
-            data_categories: [ system.operations ]
-            fidesops_meta:
-              data_type: string
-```
-
-In this more complicated example, a field in an array of objects is used to look up a different field in an array of 
-objects in another collection. Potentially multiple values from `mydatabase:customer.comments.comment_id` can be used 
-to query for corresponding values in `mydatabase:conversations.thread.comment`. Because this field is in an array of objects, 
-multiple matches may be found.
-
-```yaml
-dataset:
-  - fides_key: mydatabase
-    name: internal database
-    description: our internal database of customer data
-    collections:
-      - name: customer
-        fields:
-          - name: comments
-            fidesops_meta:
-              data_type: object[]
-            fields:
-              - name: comment_id
-                fidesops_meta:
-                  data_type: string
-                  references:
-                    - dataset: mydatabase
-                      field: conversations.thread.comment
-                      direction: to
-      - name: conversations
-        fidesops_meta:
-          data_type: object[]
-        fields:
-          - name: thread
-            fields:
-              - name: comment
-                fidesops_meta:
-                  data_type: string
-              - name: message
-                fidesops_meta:
-                  data_type: string
-              - name: chat_name
-                data_categories: [ user.name ]
-                fidesops_meta:
-                  data_type: string
-```
-
-## Query an array
-There are some assumptions made with array querying that may or may not fit with how your data is structured. If an array
-is an entrypoint into a collection (i.e., one collection references its array field), there is ambiguity around how
-the queries should be built. (e.g., AND versus OR, and whether only the matched indices or matched embedded documents within arrays should be considered).
-
-### Assumptions
-
-1. If an array is the entry point into a node, Fides will search for corresponding matches across the entire array. You cannot specify a certain index.
-2. Fides operates on "OR" queries. Data returned from multiple array fields will be flattened before being passed into the next collection.
-      1. For example, Collection A returned values [1, 2, 3], and Collection B returned values [4, 5, 6]. Collection C has an array field that depends on both Collection A and Collection B. Fides will search Collection C's array field to return any record that contains one of the values [1, 2, 3, 4, 5, 6] in the array.
-3. By default, if an array field is an entry point to a node, only matching indices in that array are considered, both for access and erasures, as well as for subsequent queries on dependent collections where applicable.
-       1. For example, a query on Collection A only matched indices 0 and 1 in an array.  Only the data located at indices 0 and 1 will be returned, and used to query data on dependent collection C.
-      2. This can be overridden by specifying `return_all_elements: true` on an entrypoint array field, in which case, the query will return the entire array and/or mask the entire array.
-4.  Individual array elements are masked, not the entire array, e.g. ["MASKED", "MASKED", "MASKED"]
-
-### Example query traversal
-This is an example traversal created from the test `postgres_example` and `mongo_test` datasets. Multiple collections point to or from complex objects and arrays. See the `mongo_example_test_dataset.yml` for more information.
-
-![Postgres and Mongo Query Traversal](../img/mongo_and_postgres_complex.png)
diff --git a/docs/fides/docs/guides/connection_types.md b/docs/fides/docs/guides/connection_types.md
deleted file mode 100644
index f6c592e018..0000000000
--- a/docs/fides/docs/guides/connection_types.md
+++ /dev/null
@@ -1,192 +0,0 @@
-# Connection Types
-
-
-## Available Connection Types
-
-To view a list of all available connection types, visit `GET /api/v1/connection_type`.
-This endpoint can be filtered with a `search` query param or a `system_type` query param 
-and is subject to change.  We include database options and third party API services with 
-which fidesops can communicate.
-
-```json title="<code>GET /api/v1/connection_type</code>"
-{
-    "items": [
-        {
-            "identifier": "bigquery",
-            "type": "database",
-            "human_readable": "BigQuery"
-        },
-        {
-            "identifier": "mariadb",
-            "type": "database",
-            "human_readable": "MariaDB"
-        },
-        {
-            "identifier": "mongodb",
-            "type": "database",
-            "human_readable": "MongoDB"
-        },
-        {
-            "identifier": "mssql",
-            "type": "database",
-            "human_readable": "Microsoft SQL Server"
-        },
-        {
-            "identifier": "mysql",
-            "type": "database",
-            "human_readable": "MySQL"
-        },
-        {
-            "identifier": "postgres",
-            "type": "database",
-            "human_readable": "PostgreSQL"
-        },
-        {
-            "identifier": "redshift",
-            "type": "database",
-            "human_readable": "Amazon Redshift"
-        },
-        {
-            "identifier": "snowflake",
-            "type": "database",
-            "human_readable": "Snowflake"
-        },
-        {
-            "identifier": "adobe_campaign",
-            "type": "saas",
-            "human_readable": "Adobe Campaign"
-        },
-        {
-            "identifier": "auth0",
-            "type": "saas",
-            "human_readable": "Auth0"
-        },
-        {
-            "identifier": "datadog",
-            "type": "saas",
-            "human_readable": "Datadog"
-        },
-        {
-            "identifier": "fullstory",
-            "type": "saas",
-            "human_readable": "Fullstory"
-        },
-        {
-            "identifier": "friendbuy",
-            "type": "saas",
-            "human_readable": "Friendbuy"
-        },
-        {
-            "identifier": "hubspot",
-            "type": "saas",
-            "human_readable": "HubSpot"
-        },
-        {
-            "identifier": "mailchimp",
-            "type": "saas",
-            "human_readable": "Mailchimp"
-        },
-        {
-            "identifier": "outreach",
-            "type": "saas",
-            "human_readable": "Outreach"
-        },
-        {
-            "identifier": "salesforce",
-            "type": "saas",
-            "human_readable": "Salesforce"
-        },
-        {
-            "identifier": "segment",
-            "type": "saas",
-            "human_readable": "Segment"
-        },
-        {
-            "identifier": "sendgrid",
-            "type": "saas",
-            "human_readable": "SendGrid"
-        },
-        {
-            "identifier": "sentry",
-            "type": "saas",
-            "human_readable": "Sentry"
-        },
-        {
-            "identifier": "shopify",
-            "type": "saas",
-            "human_readable": "Shopify"
-        },
-        {
-            "identifier": "stripe",
-            "type": "saas",
-            "human_readable": "Stripe"
-        },
-        {
-            "identifier": "zendesk",
-            "type": "saas",
-            "human_readable": "Zendesk"
-        },
-        {
-            "identifier": "manual_webhook",
-            "type": "manual",
-            "human_readable": "Manual Webhook"
-        }
-    ],
-    "total": 23,
-    "page": 1,
-    "size": 50
-}
-```
-
-## Required Connection Secrets
-
-To view the secrets needed to authenticate with a given connection, visit `GET /api/v1/connection_type/<connection_type>/secret`.
-
-### Example
-```json title="<code>GET /api/v1/connection_type/sentry/secret</code>"
-{
-    "title": "sentry_schema",
-    "description": "Sentry secrets schema",
-    "type": "object",
-    "properties": {
-        "access_token": {
-            "title": "Access Token",
-            "type": "string"
-        },
-        "domain": {
-            "title": "Domain",
-            "default": "sentry.io",
-            "type": "string"
-        }
-    },
-    "required": [
-        "access_token"
-    ],
-    "additionalProperties": false
-}
-```
-
-## Setting up a SaaS Connector from a Template
-
-To create all the resources necessary to set up a SaaS Connector in one request, you can create a connector from 
-a template.
-
-This creates a `saas` ConnectionConfig for you with your supplied name and description, with your supplied `secrets`.
-In the example below, we're creating a `mailchimp` saas connector, so you should supply the relevant mailchimp `secrets`.
-Your `instance_key` will become the identifier for the related `DatasetConfig` resource.  By default, the saas connection config
-is enabled, with write access.
-
-
-```json title="<code>POST /connection/instantiate/mailchimp</code>"
-{
-    "name": "My Mailchimp connector",
-    "description": "Production Mailchimp Instance",
-    "secrets": {
-        "domain": "{{mailchimp_domain}}",
-        "api_key": "{{mailchimp_api_key}}",
-        "username": "{{mailchimp_username}}"
-    },
-    "instance_key": "primary_mailchimp",
-}
-```
-
diff --git a/docs/fides/docs/guides/data_rights_protocol.md b/docs/fides/docs/guides/data_rights_protocol.md
deleted file mode 100644
index 040343f05f..0000000000
--- a/docs/fides/docs/guides/data_rights_protocol.md
+++ /dev/null
@@ -1,102 +0,0 @@
-# Data Rights Protocol
-
-The [Data Rights Protocol](https://github.com/consumer-reports-digital-lab/data-rights-protocol) (DRP) is a technical standard for exchanging data rights requests under regulations like the California Consumer Privacy Act (CCPA).
-
-As a Privacy Infrastructure Provider (PIP), Fides conforms to the DRP standards to receive and process Data Rights Requests. The following endpoints and actions are available in Fides for working within the DRP specifications.
-
-## DRP Actions
-
-A [DRP action](https://github.com/consumer-reports-digital-lab/data-rights-protocol#301-supported-rights-actions) may be defined when creating or editing a [policy](policies.md#create-a-policy). These actions associate a Fides execution policy with a DRP-standardized protocol for receiving and processing Data Rights Requests.
-
-A given action may only be associated to a single policy:
-
-```yaml title="<code>PATCH /api/v1/policy</code>"
-[
-    {
-        "name": "User Email Address",
-        "key": "user_email_address_policy",
-        "drp_action": "access"
-    }
-]
-```
-
-### Available actions
-
-The following actions may be associated to a policy via the `drp_action` attribute, which correspond to the DRP's set of [supported rights](https://github.com/consumer-reports-digital-lab/data-rights-protocol#202-post-exercise-data-rights-exercise-endpoint).
-
-| Action | Use |
-|---|----|
-| `sale:opt_out` | Right to opt out of data sale |
-| `sale:opt_in` | Reconsent, or opt-in to data sale |
-| `deletion` | Right to Delete |
-| `access` | Right to Know |
-| `access:categories` | Right to Know |
-| `access:specific` | Right to Know |
-
-## Endpoints
-
-Once a policy is associated with an action, the following DRP-standardized endpoints are available.
-
-### Exercise
-
-The `/exercise` endpoint creates a new DRP privacy request. Fides will execute this request based on the policy associated to the DRP action specified in `exercise`.
-
-All identity information should be encapsulated in the provided `identity` field using RFC7515-encoded [JSON Web Tokens](https://datatracker.ietf.org/doc/html/rfc7515). More about identity ecapsulation can be found in the [DRP standard](https://github.com/consumer-reports-digital-lab/data-rights-protocol#304-schema-identity-encapsulation).
-
-```json title="<code>POST /api/v1/drp/exercise</code>"
-{
-  "meta": {
-    "version": "0.5"
-  },
-  "exercise": [
-    "sale:opt-out"
-  ],
-  "identity": "jwt",
-}
-```
-
-```json title="Response"
-{
-    "request_id": "c789ff35-7644-4ceb-9981-4b35c264aac3",
-    "received_at": "20210902T152725.403-0700",
-    "expected_by": "20211015T152725.403-0700",
-    "status": "open",
-}
-```
-
-### Status
-
-The current status of an existing privacy request may be returned via the `/status` endpoint, which must be queried using a privacy request ID.
-
-```json title="<code>GET /api/v1/drp/status?request_id={privacy_request_id}</code>"
-{
-    "request_id": "c789ff35-7644-4ceb-9981-4b35c264aac3",
-    "status": "open",
-}
-```
-
-### Data Rights
-
-All data rights associated with existing policies may be returned via the `/data-rights` endpoint. Note that the `v1` in the below URL does not correspond to DRP version, but instead corresponds to Fides version.
-
-```json title="<code>GET /api/v1/drp/data-rights</code>"
-{
-    "version": "0.5",
-    "api_base": null,
-    "actions": [
-        "access"
-    ],
-    "user_relationships": null
-}
-```
-
-### Revoke
-
-You can revoke a pending privacy request via the `/revoke` endpoint.
-
-```json title="<code>GET /api/v1/drp/revoke</code>"
-{
-    "request_id": "c789ff35-7644-4ceb-9981-4b35c264aac3", 
-    "reason": "Accidentally submitted"
-}
-```
diff --git a/docs/fides/docs/guides/extend_taxonomy.md b/docs/fides/docs/guides/extend_taxonomy.md
deleted file mode 100644
index 22672b1f1a..0000000000
--- a/docs/fides/docs/guides/extend_taxonomy.md
+++ /dev/null
@@ -1,78 +0,0 @@
-# Extending the Default Taxonomy
-
-Fides' default taxonomy can be extended to ensure interoperability inside and outside your organization. Extending the existing categories allows the use of attribution when exporting data from Fides, and when adding context or clarity for legal teams.
-
-
-If you have suggestions for core categories that should ship with the taxonomy, requests can be submitted on the [Fides Github](https://github.com/ethyca/fides/issues).
-
-
-## Implementing a custom Data Use
-
- A Data Use is a label that denotes the way data is used in your system. The following is an example of extending the default [Data Use taxonomy](https://ethyca.github.io/fideslang/taxonomy/data_uses/):
-
-```yaml title="data_use.yml"
-data_use:
-  - fides_key: third_party_sharing.legal_obligation.payroll
-    name: Payroll
-    description: Legally obliged sharing of payroll information
-    recipients:
-    - HMRC
-    - IRS
-    - NYDTF
-    legal_basis: Legal Obligation
-    special_category: Employment
-    parent_key: third_party_sharing.legal_obligation
-  - fides_key: third_party_sharing.personalized_advertising.direct_marketing
-    name: Direct Marketing
-    description: Consented user information for direct marketing purposes
-    recipients:
-    - Processor - marketing co.
-    legal_basis: Consent
-    special_category: Consent
-    parent_key: third_party_sharing.personalized_advertising
-```
-
-The above example uses the existing `demo_data_uses.yml` from the [Fides project](https://github.com/ethyca/fides). Further details for each field are below:
-
-| Field | Description |
-|----|------|
-|`fides_key` | Ideally extended from the existing taxonomy using the dot (`.`) separator. A string token that uniquely identifies this Data Use. |
-| `name`     | A UI-friendly name that will also be surfaced as the **Purpose of Processing** when exporting data from Fides. |
-| `description` | An optional description of the purpose of processing. |
-| `recipients` |A list of recipients of personal data for this data use. The Payroll example above has multiple recipients for tax purposes. |
-| `legal_basis` | The legal basis category for processing, used as part of exporting data from Fides. Loosely tied to article 6 of the GDPR. |
-| `special_category` | The special category associated to processing of personal data. Loosely tied to article 9 of the GDPR. |
-| `parent_key` | The parent Data Use `fides_key` extended from. |
-
-
-
-## Implementing a custom Data Subject
-A Data Subject is a label that describes a segment of individuals whose data you store. The following is an example of extending the [Data Subject taxonomy](https://ethyca.github.io/fideslang/taxonomy/data_subjects/):
-
-```yaml title="data_subject.yml"
-data_subject:
-  - fides_key: potential_customer
-    name: Potential Customer
-    description: A prospective individual or other organization that purchases goods or services from the organization.
-    rights:
-      strategy: INCLUDE
-      values:
-      - Informed
-      - Access
-      - Rectification
-      - Erasure
-      - Object
-    automated_decisions_or_profiling: true
-```
-The above example uses the existing `demo_data_subjects.yml` from the [Fides project](https://github.com/ethyca/fides). Further details for each field are below:
-
-| Label | Description |
-|----|------|
-| `fides_key` | Ideally extended from the existing taxonomy using the dot (`.`) separator. A string token that uniquely identifies this Data Use. |
-| `name` | A UI-friendly name that will also be surfaced as the **Categories of individuals**  when exporting data from Fides. |
-| `description` | An optional description of the data subject. |
-| `rights` | A strategy of how to apply data subject rights, along with an optional list to complement the strategy. |
-| `automated_decisions_or_profiling` | If automated decision-making or profiling exists for this data subject, set as either true or false. |
-
-## Next Steps
-Once created, your new Data Subject or Data Use can be referenced as part of a [privacy declaration in a system](https://ethyca.github.io/fideslang/resources/system), throughout your [policies](https://ethyca.github.io/fideslang/resources/policy), and in other Fides [resources](https://ethyca.github.io/fideslang/resources/dataset).
\ No newline at end of file
diff --git a/docs/fides/docs/guides/generate_datamaps.md b/docs/fides/docs/guides/generate_datamaps.md
deleted file mode 100644
index d3f1ce1a3e..0000000000
--- a/docs/fides/docs/guides/generate_datamaps.md
+++ /dev/null
@@ -1,330 +0,0 @@
-# Generating a Data Map
-
-Fides is capable of exporting a data map of your [resources](https://ethyca.github.io/fideslang/resources/system) to generate an Article 30-compliant Record of Processing Activities (RoPA). This guide will walk through generating a mock RoPA using predefined resources included in the [Fides repository](https://github.com/ethyca/fides).
-
-To follow along, ensure you have the Fides repository cloned and Fides installed.
-## Export the Demo Resources
-First, ensure `fides` is running with `nox -s dev`.
-
-To push and export the provided `demo_resources`, run the following commands:
-
-```sh title="Push and Export Defaults"
-fides push demo_resources/
-fides export datamap --output-dir demo_resources/
-```
-
-This will export a data map to the `demo_resources/` directory.
-
-### Organization
-
-The header block at the top of a data map is composed of properties found in the [Organization resource](https://ethyca.github.io/fideslang/resources/organization). In a production deployment, this would be composed of publicly available information for your company/organization, but has been pre-populated here to allow exploration.
-
-![Organization Contact Info](../img/datamap_organization_contact.png)
-
-The newly-generated data map is a direct result of the provided Organization resource manifest (`demo_resources/demo_organization.yml`):
-
-```yaml title='<code>demo_organization.yml</code>'
-organization:
-  - fides_key: default_organization
-    name: Demo Organization
-    description: An e-commerce organization
-    security_policy: https://ethyca.com/privacy-policy/
-    controller:
-      name: Con Troller
-      address: 123 demo street, New York, NY, USA
-      email: controller@demo_company.com
-      phone: +1 555 555 5555
-    data_protection_officer:
-      name: DataPro Tection
-      address: 123 demo street, New York, NY, USA
-      email: dpo@demo_company.com
-      phone: +1 555 555 5555
-    representative:
-      name: Rep Resentative
-      address: 123 demo street, New York, NY, USA
-      email: representative@demo_company.com
-      phone: +1 555 555 5555
-```
-Each of `controller`, `data_protection_officer`, and `representative` are composed of Contact Detail properties populated in the exported data map.
-
-Additionally, the link to the security policy of an organization can be populated from the Organization resource's `security_policy` field.
-
-
-### Dataset
-The Dataset is primarily used to provide a list of Data Categories which populate the data map. Additional properties can optionally be applied for `retention` and `third_country_transfers`.
-
-![Demo Dataset Properties](../img/demo_dataset_properties.png)
-
-
-The newly-generated data map is a direct result of the provided Dataset resource manifest (`demo_resources/demo_dataset.yml`):
-
-```yaml title='<code>demo_dataset.yml</code>'
-dataset:
-- fides_key: demo_users_dataset
-  organization_fides_key: default_organization
-  name: Demo Users Dataset
-  description: Data collected about users for our analytics system.
-  meta: null
-  data_categories: []
-  data_qualifiers:
-  - aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-  retention: "30 days after account deletion"
-  third_country_transfers:
-    - GBR
-    - CAN
-  collections:
-  - name: users
-    description: User information
-    data_categories: []
-    data_qualifiers:
-    - aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-    fields:
-    - name: created_at
-      description: User's creation timestamp
-      data_categories:
-      - system.operations
-      data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-
-    ...
-```
-
-`data_categories` and `retention` can be set at any/all of the Dataset, DatasetCollection, and DatasetField levels.
-
-`third_country_transfers` should be set at the `dataset` level.
-
-Any Datasets referenced by a System will have this information included as rows of your data map.
-
-### System
-The System contains the remainder of the attributes on the initial data map.
-
-Each populated property is referenced directly from an associated label in `fides_resources/demo_system.yml`:
-
-|Data Map Label    |Resource Label   | Description    |
-|--|----|----|
-| **Fides Dataset** | `dataset_references` | Used to join dataset(s) to the system. |
-| **Fides System** | `name` | The `name` defined at the top level of the system. |
-| **Department or Business Function** |  `administering_department` | Set at the top level of the system. |
-| **Purpose of Processing** | `data_use` | The `data_use` defined in the `privacy_declaration`. |
-| **Categories of Individuals** | `data_subject` | A `data_subject` list defined in the `privacy_declaration`. |
-| **Categories of Personal Data** | `data_categories` | Any `data_categories` set as part of the `privacy_declaration` (see the output for Demo Marketing System as a clear example).|
-| **Role or Responsibility** | `data_responsibility_title` | Set at the top level of the system. |
-| **Source of the Personal Data** | `dataset_references` | The Fides dataset name, if referenced by the system.
-| **Data Protection Impact Assessment**  | `data_protection_impact_assessment` | All the information related to a Data Protection Impact Assessment, set at the top level of the system.|
-
-
-## Extend the Default Taxonomy
-In your initial export, several data map columns are populated with `N/A`. The default [Fides Taxonomy](https://ethyca.github.io/fideslang/taxonomy/overview) can be extended to replace these empty values with additional data required as part of a Record of Processing Activities.
-
-Example manifest updates are included in `demo_resources/demo_extended_taxonomy.yml`.
-
-### Auditing Resources
-Your Organization and System datasets can also be assessed using the `--audit` flag as part of the `evaluate` command, which will identify how your resources could be extended to generate a compliant data map.
-
-1. `fides evaluate demo_resources/ --audit`
-
-The output of this command will highlight any missing information:
-
-```bash title="Example Output: <code>fides audit</code>"
-...
-"Auditing Organization Resource Compliance"
-Found 1 Organization resource(s) to audit...
-Auditing Organization: Demo Organization
-controller for default_organization in Demo Organization is compliant
-data_protection_officer for default_organization in Demo Organization is compliant
-representative for default_organization in Demo Organization is compliant
-security_policy for default_organization in Demo Organization is compliant
-All audited organization resource(s) compliant!
-----------
-"Auditing System Resource Compliance"
-Found 2 System resource(s) to audit...
-"Auditing System: Demo Analytics System"
-improve.system missing recipients in Demo Analytics System.
-improve.system missing legal_basis in Demo Analytics System.
-improve.system missing special_category in Demo Analytics System.
-customer missing rights in Demo Analytics System.
-customer missing automated_decisions_or_profiling in Demo Analytics System.
-"Auditing System: Demo Marketing System"
-advertising missing recipients in Demo Marketing System.
-advertising missing legal_basis in Demo Marketing System.
-advertising missing special_category in Demo Marketing System.
-customer missing rights in Demo Marketing System.
-customer missing automated_decisions_or_profiling in Demo Marketing System.
-10 issue(s) were detected in auditing system completeness.
-```
-### Data Use
-Below is an extended [Data Use](https://ethyca.github.io/fideslang/taxonomy/data_uses) example. Each of these properties is responsible for populating a field on your data map.
-
-```yaml title="Extended Data Use"
-data_use:
-  - fides_key: third_party_sharing.personalized_advertising.direct_marketing
-    name: Direct Marketing
-    description: User information for direct marketing purposes
-    recipients:
-    - Processor - marketing co.
-    legal_basis: Legitimate Interests
-    special_category: Vital Interests
-    legitimate_interest_impact_assessment: https://example.org/legitimate_interest_assessment
-    parent_key: third_party_sharing.personalized_advertising
-```
-
-
-Apply this `data_subject` by adding it to the Demo Marketing System in `demo_system.yml`.
-
-Replace the Demo Marketing System's Data Use of `advertising` with the above fides_key of `third_party_sharing.personalized_advertising.direct_marketing` to include its information in your data map.
-
-### Data Subject
-A [Data Subject](https://ethyca.github.io/fideslang/taxonomy/data_subjects), shown below, can also be extended to populate your data map with additional information.
-
-```yaml title="Extended Data Subject"
-data_subject:
-  - fides_key: potential_customer
-    name: Potential Customer
-    description: A prospective individual or other organization that purchases goods or services from the organization.
-    rights:
-      strategy: INCLUDE
-      values:
-      - Informed
-      - Access
-      - Rectification
-      - Erasure
-      - Object
-    automated_decisions_or_profiling: true
-```
-
-Apply this `data_subject` by adding it to the Demo Marketing System in `demo_system.yml`.
-
-Replace the Demo Marketing System's Data Subject of `customer` with the above fides_key of `potential_customer` to include its information in your data map.
-
-### Testing Your Changes
-Your resulting `demo_system.yml` should look like the following:
-```yaml title="<code>demo_system.yml</code>"
-system:
-  - fides_key: demo_analytics_system
-    name: Demo Analytics System
-    description: A system used for analyzing customer behavior.
-    system_type: Service
-    administrating_department: Engineering
-    data_responsibility_title: Controller
-    third_country_transfers:
-    - USA
-    - CAN
-    data_protection_impact_assessment:
-      is_required: True
-      progress: Complete
-      link: https://example.org/analytics_system_data_protection_impact_assessment
-    privacy_declarations:
-      - name: Analyze customer behavior for improvements.
-        data_categories:
-          - user.provided.identifiable.contact
-          - user.derived.identifiable.device.cookie_id
-        data_use: improve.system
-        data_subjects:
-          - customer
-        data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-        dataset_references:
-          - demo_users_dataset
-
-  - fides_key: demo_marketing_system
-    name: Demo Marketing System
-    description: Collect data about our users for marketing.
-    system_type: Service
-    administrating_department: Marketing
-    data_responsibility_title: Processor
-    privacy_declarations:
-      - name: Collect data for marketing
-        data_categories:
-          #- user.provided.identifiable.contact # uncomment to add this category to the system
-          - user.derived.identifiable.device.cookie_id
-        data_use: third_party_sharing.personalized_advertising.direct_marketing
-        data_subjects:
-          - potential_customer
-        data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-    data_use:
-      - fides_key: third_party_sharing.personalized_advertising.direct_marketing
-        name: Direct Marketing
-        description: User information for direct marketing purposes
-        recipients:
-        - Processor - marketing co.
-        legal_basis: Legitimate Interests
-        special_category: Vital Interests
-        legitimate_interest_impact_assessment: https://example.org/legitimate_interest_assessment
-        parent_key: third_party_sharing.personalized_advertising
-    data_subject:
-      - fides_key: potential_customer
-        name: Potential Customer
-        description: A prospective individual or other organization that purchases goods or services from the organization.
-        rights:
-          strategy: INCLUDE
-          values:
-          - Informed
-          - Access
-          - Rectification
-          - Erasure
-          - Object
-        automated_decisions_or_profiling: true
-```
-
-Running `fides push demo_resources/` will push your changes.
-
-Now, auditing this resource with `fides evaluate demo_resources --audit` will show the Demo Marketing System issues are resolved:
-```bash
-...
-"Auditing Organization Resource Compliance"
-Found 1 Organization resource(s) to audit...
-Auditing Organization: Demo Organization
-controller for default_organization in Demo Organization is compliant
-data_protection_officer for default_organization in Demo Organization is compliant
-representative for default_organization in Demo Organization is compliant
-security_policy for default_organization in Demo Organization is compliant
-All audited organization resource(s) compliant!
-----------
-"Auditing System Resource Compliance"
-Found 2 System resource(s) to audit...
-"Auditing System: Demo Analytics System"
-improve.system missing recipients in Demo Analytics System.
-improve.system missing legal_basis in Demo Analytics System.
-improve.system missing special_category in Demo Analytics System.
-customer missing rights in Demo Analytics System.
-customer missing automated_decisions_or_profiling in Demo Analytics System.
-"Auditing System: Demo Marketing System"
-recipients for third_party_sharing.personalized_advertising.direct_marketing in Demo Marketing System is compliant
-legal_basis for third_party_sharing.personalized_advertising.direct_marketing in Demo Marketing System is compliant
-special_category for third_party_sharing.personalized_advertising.direct_marketing in Demo Marketing System is compliant
-rights for potential_customer in Demo Marketing System is compliant
-automated_decisions_or_profiling for potential_customer in Demo Marketing System is compliant
-5 issue(s) were detected in auditing system completeness.
-```
-
-
-## Generate a RoPA
-
-Now that you have added the additional information around privacy notices and data subject rights, you can export a fresh copy of your data map:
-
-```sh title="Push and Export Defaults"
-$ fides push demo_resources/
-$ fides export datamap --output-dir demo_resources/
-```
-
-### Populated Fields
-
-Opening the new data map will show the previously `N/A` columns are now populated, resulting in an Article 30-compliant RoPA for one of the two systems defined in `demo_resources/`.
-
-Below is a mapping of the newly populated columns with their respective values:
-
-|Data Map Label | Description |
-|----|----|
-| **Purpose of Processing** | The name of your newly extended `data_use` set in a Privacy Declaration. |
-| **Categories of Individuals** | The name of your newly extended `data_subject` set in a Privacy Declaration. |
-| **Categories of Recipients** | The recipients defined in your extended Data Use. |
-| **Article 6 Lawful Basis for Processing Personal Data** | The `legal_basis` defined in your extended Data Use. |
-| **Article 9 Condition for Processing Special Category Data**| The `special_category` defined in your extended Data Use. |
-| **Legitimate Interests for the Processing** | If the `legal_basis` is `"Legitimate Interests"`, the Data Use name is used to identify what the legitimate interest data use is. |
-| **Link to Record of Legitimate Interests Assessment** | If the `legal_basis` is `"Legitimate Interests"`, a **legitimate interests impact assessment** is required and should be set using the `legitimate_interest_impact_assessment` property. |
-| **Rights Available to Individuals** | The `rights` defined in your extended Data Subject based on the strategy used. |
-| **Existence of Automated Decision-Making, Including Profiling** | The boolean value for `automated_decisions_or_profiling`, defined in your extended Data Subject. |
-
-
-### Additional Learning
-The provided `demo_system.yml` includes a second System, **Demo Analytics**, which can be enhanced in the same way as the Demo Marketing System.
-
-Follow the guide to [extend the taxonomy](#extending-the-taxonomy) again, this time for the Demo Analytics System, to have both systems fully compliant.
\ No newline at end of file
diff --git a/docs/fides/docs/guides/manual_webhooks.md b/docs/fides/docs/guides/manual_webhooks.md
deleted file mode 100644
index 9226bba99b..0000000000
--- a/docs/fides/docs/guides/manual_webhooks.md
+++ /dev/null
@@ -1,105 +0,0 @@
-# Manual Webhooks
-
-Manual webhooks are a simple way for data to be manually uploaded for an access request. Erasure requests are not supported at this time.
-They differ from the more complex [manual connection configs](../getting-started/datasets.md#Configure-a-manual-Dataset) that integrate directly with the graph.
-Manual webhooks gather data *outside* of the graph as a first step, and are more similar to [policy_webhooks](policy_webhooks.md).
-
-
-If you have manual webhooks defined, privacy request execution will exit early and remain in a state of `requires_input`.
-Once data has been manually uploaded for all the manual webhooks, then the privacy request can be resumed. Data uploaded
-for manual webhooks is passed on directly to the data subject alongside the data package. It is
-not filtered on data category.  Any manual data uploaded is passed on as-is.
-
-
-
-## Configuration
-
-### Create a connection config of type `manual_webhook`
-
-
-```json title="<code>POST api/v1/connection</code>"
-[
-    {"name": "Manual Webhook ConnectionConfig",
-    "key": "manual_webhook_key",
-    "connection_type": "manual_webhook",
-    "access": "read"
-    }
-]
-```
-
-| Field | Description |
-|----|----|
-| `key` | *Optional.* A unique key used to manage your connection config. This is auto-generated from `name` if left blank. Accepted values are alphanumeric, `_`, and `.`. |
-| `name` | A unique user-friendly name for your connection config. This key will also be used to identity the manual webhook|
-| `connection_type` | Should be `manual_webhook` for the resource described here. |
-| `access` | One of `read` or `write` |
-
-
-### Define the fields expected for your `manual_webhook`
-
-Submit a list of fields that will need to be manually uploaded.
-
-
-```json title="<code>PATCH api/v1/connection/{{manual_webhook_key}}/access_manual_webhook</code>"
-{
-    "fields": [
-        {"pii_field": "First Name", "dsr_package_label": "first_name"},
-        {"pii_field": "Last Name", "dsr_package_label": "last_name"},
-        {"pii_field": "Phone Number", "dsr_package_label": null},
-        {"pii_field": "Height", "dsr_package_label": "height"}
-    ]
-}
-```
-
-| Field | Description |
-|----|----|
-| `fields` | *Required.* A list of field mappings with `pii_field` and `dsr_package_label` keys. The `pii_field` is the label fidesops will display when it solicits manual input, and the `dsr_package_label` is the identifier fidesops will use when it uploads the data to the data subject.  If no `dsr_package_label` is supplied, it will be created from the `pii_field`.
-
-
-### Upload manual webhook data for a given privacy request
-
-Privacy request execution will exit early with a status of `requires_input` if we're missing data for `manual_webhooks`.
-A request will need to be made for each manual_webhook to upload the requested data before request execution can proceed.
-
-Note that the fields here are dynamic and should match the fields specified on the manual webhook. All fields are optional.
-If no data exists, an empty dictionary should be uploaded. Fidesops treats this upload as confirmation that the
-system was searched for data related to the data subject.
-
-```json title="<code>PATCH /privacy-request/{{privacy_request_id}}/access_manual_webhook/{{manual_webhook_key}}</code>"
-{
-    "first_name": "Jane",
-    "last_name": "Customer"
-}
-```
-
-### Resume Privacy Request Execution
-
-Once a PrivacyRequest with `requires_input` has had all of its manual data uploaded, prompt the privacy request to resume.
-
-```json title="<code>POST /privacy-request/{{privacy_request_id}}/resume_from_requires_input</code>"
-```
-
-#### Example Upload
-
-In this example, we visited one postgres collection automatically and retrieved Jane's `name`, `email`, and `id`.
-Her `first_name` and `last_name` were manually uploaded as part of the `manual_webhook_key` Manual Webhook
-and directly included here.
-
-```json
-
-{
-  "postgres_example:customer": [
-    {
-      "name": "Jane Customer",
-      "email": "customer-3@example.com",
-      "id": 1
-    }
-  ],
-  "manual_webhook_key": [
-    {
-      "first_name": "Jane",
-      "last_name": "Customer"
-    }
-  ]
-}
-```
diff --git a/docs/fides/docs/guides/masking_strategies.md b/docs/fides/docs/guides/masking_strategies.md
deleted file mode 100644
index 100e07fe93..0000000000
--- a/docs/fides/docs/guides/masking_strategies.md
+++ /dev/null
@@ -1,242 +0,0 @@
-# Configure Data Masking
-
-## What is data masking?
-
-Data masking is the process of obfuscating data in client systems, so it is no longer recognizable as PII (personally
-identifiable information).
-
-For example, if a customer requests that your remove all information associated with their email,
-`test@example.com`, you might choose to "mask" that email with a random string, `xgoi4301nkyi79fjfdopvyjc5lnbr9`, and
-their associated address with another random string `2ab6jghdg37uhkaz3hpyavpss1dvg2`.
-
-!!! Tip "Masking does not equal anonymization. Since records are not deleted, a masked dataset is pseudonymized in most cases, and may still be identifiable if the masking is reversible or easy to predict."
-
-In Fides, your options to pseudonymize data are captured in "masking strategies". Fides supports a wide variety
-of masking strategies for different purposes when used directly as an API including HMAC, Hash, AES encryption, string rewrite, random string rewrite, and null rewrite.
-
-### Why mask instead of delete?
-Deleting customer data may involve entirely deleting a whole record (all attributes of the entity) or permanent and
-irreversible anonymization of the record by updating specific fields within a record with masked values.
-
-Using a masking strategy instead of straight deletion to obscure PII helps ensure referential integrity in your
-database. For example, you might have an `orders` table with a foreign key to `user` without cascade delete. Say you first
-deleted a user with email `test@example.com` without addressing their orders, you could potentially
-have lingering orphans in the `orders` table. Using masking as a "soft delete" might be a safer strategy
-depending on how your tables are defined.
-
-In order to ensure referential integrity is retained, any values that represent foreign keys must be consistently
-updated with the same masked values across all sources.
-
-Other reasons to mask instead of delete include legal requirements that have you retain certain data for a certain length of time.
-
-## Using Fides as a masking service
-To use Fides as a masking service, send a `PUT` request to the masking endpoint with the value(s) you'd like pseudonymized. This endpoint is also useful for viewing how different masking strategies work.
-
-### Masking example
-
-```json title="<code>PUT /masking/mask</code>"
-     {
-        "values": ["test@example.com"],
-        "masking_strategy": {
-            "strategy": "random_string_rewrite",
-            "configuration": {
-                "length": 20,
-                "format_preservation": {
-                    "suffix": "@masked.com"
-                }
-            }
-        }
-    }
-```
-
-```json title="<code>Response 200 OK</code>"
-    {
-        "plain": ["test@example.com"],
-        "masked_value": ["idkeaotbrub346ycbmpo@masked.com"]
-    }
-```
-
-The email has been replaced with a random string of 20 characters, while still preserving that the value is an email.
-
-See the [masking values](../api/index.md#operations-tag-Masking) API on how to use Fides to as a masking service.
-
-## Configuration
-Erasure requests will mask data with the chosen masking strategy.
-
-To configure a specific masking strategy to be used for a Policy, you will create an `erasure` rule
-that captures that strategy for the Policy.
-
-```json title="<code>PATCH /policy/policy_key/rule</code>"
-    [{
-        "name": "Global erasure rule",
-        "action_type": "erasure",
-        "key": "string_rewrite_rule",
-        "masking_strategy": {
-            "strategy": "random_string_rewrite",
-            "configuration": {
-                "length": 20,
-                "format_preservation": {
-                    "suffix": "@masked.com"
-                }   
-            }
-        }
-    }]
-
-```
-
-## Supported masking strategies
-
-### Null rewrite
-
-Masks the input value with a null value.
-
-`strategy`: `null_rewrite`
-
-No config needed.
-
-### String rewrite
-
-Masks the input value with a default string value.
-
-`strategy`: `string_rewrite`
-
-`configuration`:
-
-- `rewrite_value`: `str` that will replace input values
-- `format_preservation` (optional): `Dict` with the following key/vals:
-  - `suffix`: `str` that specifies suffix to append to masked value
-
-### Hash
-
-Masks the data by hashing the input before returning it. The hash is deterministic such that the same input will return the same output within the context of the same privacy request. This is not the case when the masking service is called as a standalone service, outside the context of a privacy request.
-
-`strategy`: `hash`
-
-`configuration`:
-
-- `algorithm` (optional): `str` that specifies Hash masking algorithm. Options include `SHA-512` or `SHA_256`. Default = `SHA_256`
-- `format_preservation` (optional): `Dict` with the following key/vals:
-  - `suffix`: `str` that specifies suffix to append to masked value
-
-### Random string rewrite
-
-Masks the input value with a random string of a specified length.
-
-`strategy`: `random_string_rewrite`
-
-`configuration`:
-
-- `length` (optional): `int` that specifies length of randomly generated string. Default = `30`
-- `format_preservation` (optional): `Dict` with the following key/vals:
-  - `suffix`: `str` that specifies suffix to append to masked value
-
-### AES encrypt
-
-Masks the data using AES encryption before returning it. The AES encryption strategy is deterministic such that the same input will return the same output within the context of the same privacy request. This is not the case when the masking service is called as a standalone service, outside the context of a privacy request.
-
-`strategy`: `aes_encrypt`
-
-`configuration`:
-
-- `mode` (optional): `str` that specifies AES encryption mode. Only supported option is `GCM`. Default = `GCM`
-- `format_preservation` (optional): `Dict` with the following key/vals:
-  - `suffix`: `str` that specifies suffix to append to masked value
-
-### HMAC
-
-Masks the data using HMAC before returning it. The HMAC encryption strategy is deterministic such that the same input will return the same output within the context of the same privacy request. This is not the case when the masking service is called as a standalone service, outside the context of a privacy request.
-
-`strategy`: `hmac`
-
-`configuration`:
-
-- `algorithm` (optional): `str` that specifies HMAC masking algorithm. Options include `SHA-512` or `SHA_256`. Default = `SHA_256`
-- `format_preservation` (optional): `Dict` with the following key/vals:
-  - `suffix`: `str` that specifies suffix to append to masked value
-
-See the [Policy guide](policies.md) for more detailed instructions on creating Policies and Rules.
-
-## Getting masking options
-
-Issue a GET request to [`/api/v1/masking/strategy`](../api/index.md#operations-Masking-list_masking_strategies_api_v1_masking_strategy_get) to preview the different masking
-strategies available, along with their configuration options.
-
-## Extensibility
-
-Fides asking strategies are built on top of an abstract `MaskingStrategy` base class.
-
-`MaskingStrategy` has five methods: `mask`, `secrets_required`, `get_configuration_model`, `get_description`, and `data_type_supported`. For more detail on these methods, visit the class in the Fides repository. 
-
-The below example focuses on the implementation of `RandomStringRewriteMaskingStrategy`:
-
-```python
-import string
-from typing import Optional
-from secrets import choice
-
-from fides.api.ops.schemas.masking.masking_configuration import RandomStringMaskingConfiguration, MaskingConfiguration
-from fides.api.ops.schemas.masking.masking_strategy_description import MaskingStrategyDescription
-from fides.api.ops.service.masking.strategy.format_preservation import FormatPreservation
-from fides.api.ops.service.masking.strategy.masking_strategy import MaskingStrategy
-from fides.api.ops.service.masking.strategy.masking_strategy_factory import (
-    MaskingStrategyFactory,
-)
-
-RANDOM_STRING_REWRITE_STRATEGY_NAME = "random_string_rewrite"
-
-@MaskingStrategyFactory.register(RANDOM_STRING_REWRITE_STRATEGY_NAME)
-class RandomStringRewriteMaskingStrategy(MaskingStrategy):
-    """Masks a value with a random string of the length specified in the configuration."""
-
-    def __init__(
-        self,
-        configuration: RandomStringMaskingConfiguration,
-    ):
-        self.length = configuration.length
-        self.format_preservation = configuration.format_preservation
-
-    def mask(self, values: Optional[List[str]], privacy_request_id: Optional[str]) -> Optional[List[str]]:
-        """Replaces the value with a random lowercase string of the configured length"""
-        if values is None:
-            return None
-        masked_values: List[str] = []
-        for _ in range(len(values)):
-            masked: str = "".join(
-                [
-                    choice(string.ascii_lowercase + string.digits)
-                    for _ in range(self.length)
-                ]
-            )
-            if self.format_preservation is not None:
-                formatter = FormatPreservation(self.format_preservation)
-                masked = formatter.format(masked)
-            masked_values.append(masked)
-        return masked_values
-
-    @staticmethod
-    def get_configuration_model() -> MaskingConfiguration:
-        """Not covered in this example"""
-
-    @staticmethod
-    def get_description() -> MaskingStrategyDescription:
-        """Not covered in this example"""
-
-    @staticmethod
-    def data_type_supported(data_type: Optional[str]) -> bool:
-        """Not covered in this example"""
-```
-
-The `mask` method will be called with the list of values to be masked and the masked values will be the output. In this case, we want to replace the supplied values with a random mixture of ascii lowercase letters and digits of the
-specified length. If format preservation is specified, for example, we still want to know that an email was an email,
-we might tack on an email-like suffix.
-
-Note the arguments to the __init__ method. There is a field configuration of type `RandomStringMaskingConfiguration`.
-This is the configuration for the masking strategy. It is used to house the options specified by the client as well as
-any defaults that should be applied in their absence. All configuration classes extend from the
-`MaskingConfiguration` class.
-
-### Integrate the masking strategy factory
-
-In order to leverage an implemented masking strategy, the `MaskingStrategy` subclass must be registered with the `MaskingStrategyFactory`. To register a new `MaskingStrategy`, use the `register` decorator on the `MaskingStrategy` subclass definition, as shown in the above example.
-
-The value passed as the argument to the decorator must be the registered name of the `MaskingStrategy` subclass. This is the same value defined by [callers](#using-fides-as-a-masking-service) in the `"masking_strategy"."strategy"` field.
diff --git a/docs/fides/docs/guides/messaging.md b/docs/fides/docs/guides/messaging.md
deleted file mode 100644
index cf99dd940f..0000000000
--- a/docs/fides/docs/guides/messaging.md
+++ /dev/null
@@ -1,127 +0,0 @@
-# Configure Email/SMS Messaging
-## What is email/SMS used for?
-
-Fides supports email and SMS server configurations for sending processing notices to privacy request subjects. Future updates will support outbound email communications with data processors.
-
-Supported modes of use:
-
-- Subject Identity Verification - Used to verify subject identity before proceeding with their privacy request. For more information on identity verification in subject requests, see the [Privacy Requests](../getting-started/privacy_requests.md#subject-identity-verification) guide.
-- Request Receipt Notification - Used to send subject notifications upon privacy request receipt.
-- Request Review Notification - Used to send subject notifications upon privacy request review. Includes denial reason of the request, if applicable.
-- Request Completion Notification - Used to send subject notifications upon privacy request completion. Includes link to download data package, if applicable.
-
-
-## Prerequisites
-
-Fides currently supports both Mailgun for email messaging and either Mailgun or Twilio fo SMS messaging.
-
-For Mailgun, ensure you register or use an existing Mailgun account in order to get up and running with email communications.
-
-1. Generate a Mailgun Domain Sending Key
-
-    Follow the [Mailgun documentation](https://documentation.mailgun.com/en/latest/api-intro.html#authentication-1) to create a new Domain Sending Key for Fides. 
-
-    !!! Note 
-        Mailgun automatically generates a **primary account API key** when you sign up for an account. This key allows you to perform all CRUD operations via Mailgun's API endpoints, and for any of your sending domains. For security purposes, using a new **domain sending key** is recommended over your primary API key.
-
-## Configuration
-
-### Add necessary config variables
-
-You'll need to set up config variables to send out messages from Fides. Refer to [the config variable reference](../installation/configuration.md#configuration-variable-reference) for more details.
-
-Here's an example set of relevant configs to enable all notification types with a Mailgun service type.
-
-```js
-FIDES__EXECUTION__SUBJECT_IDENTITY_VERIFICATION_REQUIRED=true
-FIDES__NOTIFICATIONS__NOTIFICATION_SERVICE_TYPE="mailgun"
-FIDES__NOTIFICATIONS__SEND_REQUEST_COMPLETION_NOTIFICATION=true
-FIDES__NOTIFICATIONS__SEND_REQUEST_RECEIPT_NOTIFICATION=true
-FIDES__NOTIFICATIONS__SEND_REQUEST_REVIEW_NOTIFICATION=true
-```
-
-For the `FIDES__NOTIFICATIONS__NOTIFICATION_SERVICE_TYPE` variable, we currently support the following service types:
-
-- `mailgun`
-- `twilio_sms`
-- `twilio_email`
-
-These service types must correspond to the `service_type` in one of your messaging configs in the database.
-
-
-### Create the messaging configuration
-
-#### Mailgun Config
-
-```json title="<code>POST api/v1/messaging/config"
-{
-    "key": "{{messaging_config_key}}",
-    "name": "mailgun",
-    "service_type": "mailgun",
-    "details": {
-        "domain": "your.mailgun.domain"
-    }
-}
-```
-
-#### Twilio SMS Config
-
-```json title="<code>POST api/v1/messaging/config"
-{
-    "key": "{{twilio_config_key}}",
-    "name": "twilio",
-    "service_type": "twilio_text"
-}
-```
-
-| Field          | Description                                                                                                                                                      |
-|----------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| `key`          | *Optional.* A unique key used to manage your messaging config. This is auto-generated from `name` if left blank. Accepted values are alphanumeric, `_`, and `.`. |
-| `name`         | A unique user-friendly name for your messaging config.                                                                                                           |
-| `service_type` | The email service to configure. Currently, Fides supports `mailgun`, `twilio_email`, and `twilio_sms`.                                                           |
-| `details`      | A dict of key/val config vars specific to the messaging service.                                                                                                 |
-| `domain`       | Your unique Mailgun domain.                                                                                                                                      |
-| `is_eu_domain` | *Optional.* A boolean that denotes whether your Mailgun domain was created in the EU region. Defaults to `False`.                                                |
-| `api_version`  | *Optional.* A string that denotes the API version. Defaults to `v3`.                                                                                             |
-
-
-### Add the messaging configuration secrets 
-
-#### Mailgun Secrets
-
-```json title="<code>PUT api/v1/messaging/config/{{messaging_config_key}}/secret"
-{
-    "mailgun_api_key": "{{mailgun_api_key}}",
-}
-
-```
-
-#### Twilio SMS Secrets
-
-```json title="<code>PUT api/v1/messaging/config/{{messaging_config_key}}/secret"
-{
-    "twilio_account_sid": "{{twilio_account_sid}}",
-    "twilio_auth_token": "{{twilio_auth_token}}",
-    "twilio_messaging_service_sid": "{{twilio_messaging_service_id}}"
-}
-
-```
-
-#### Twilio Email Secrets
-
-```json title="<code>PUT api/v1/messaging/config/{{messaging_config_key}}/secret"
-{
-    "twilio_api_key": "{{twilio_api_key}}",
-}
-
-```
-
-| Field                          | Description                                                                                                                |
-|--------------------------------|----------------------------------------------------------------------------------------------------------------------------|
-| `mailgun_api_key`              | Your Mailgun Domain Sending Key.                                                                                           |
-| `twilio_account_sid`           | Your Twilio Account SID.                                                                                                   |
-| `twilio_auth_token`            | Your Twilio Auth Token.                                                                                                    |
-| `twilio_messaging_service_sid` | Your Twilio Messaging Service SID. One of `twilio_messaging_service_sid` or `twilio_sender_phone_number` must be provided. |
-| `twilio_sender_phone_number`   | Your Twilio Sender Phone Number. One of `twilio_messaging_service_sid` or `twilio_sender_phone_number` must be provided.   |
-| `twilio_api_key`               | Your Twilio API Key.                                                                                                       |
-
diff --git a/docs/fides/docs/guides/oauth.md b/docs/fides/docs/guides/oauth.md
deleted file mode 100644
index 090899ca7a..0000000000
--- a/docs/fides/docs/guides/oauth.md
+++ /dev/null
@@ -1,90 +0,0 @@
-# Authenticate with OAuth
-
-When you invoke a Fides API, you must pass an _access token_ as the value of the `Authorization` header. This token must also include a _scope_ that gives you permission to take an action on the API. For example, to create a new execution policy, the token that you pass to the `Authorization` header must include the `policy:create_or_update` scope.
-
-!!! Tip "When running the Fides webserver, navigate to the interactive API docs at `http://{server_url}/docs` (e.g., `http://0.0.0.0:8080/docs`) to access the following endpoints."
-## Create the root client
-Create an access client ID and secret for the "root" client. In your [`fides.toml`](../installation/configuration.md), these are defined as `oauth_root_client_id` and `oauth_root_client_secret`.
-
-**The root client token contains all scopes,** and can call any of the Fides APIs. Once authenticated, creating additional users with individual scopes is recommended.
-
-To create a root token, call the `POST /api/v1/oauth/token` endpoint:
-
-```json title="<code>POST /api/v1/oauth/token</code>"
-{
-  "client_id": "{oauth_root_client_id}",
-  "client_secret": "{oauth_root_client_secret}",
-  "grant_type": "client_credentials"
-}
-```
-
-```sh title="Curl options"
-curl \
-  -X POST 'http://<HOST>:8080/api/v1/oauth/token' \
-  -d client_id={oauth_root_client_id} \
-  -d client_secret={oauth_root_client_secret} \
-  -d grant_type=client_credentials
-```
-
-Substitute the `oauth_root_client_id` and `oauth_root_client_secret` for the values in your `fides.toml`, or provide their environment variables.
-
-If the `token` call is successful, the response will return the root client's access token in the `access_token` property:
-
-```
-HTTP/1.1 200 OK
-Content-Type: application/json
-
-{
-  "access_token" : "MTI4Q0JDJSrgyplbmMiOiJBjU2I..._X0hTMyXAyPx",
-  /* ignore any other properties */
-}
-```
-
-## Create additional clients
-
-Because the root client's token contains all scopes, it can create new clients and new client ID/client secret pairs which can be used to create additional access tokens.
-
-!!! info "Best practices recommend creating a client with the scope `CLIENT_CREATE` to create any new clients. This will help to reduce the utilization of the all-scopes root client."
-
-To create the client ID/secret pair, call `POST /api/v1/oauth/client`. If using the interactive Swagger docs, ensure you have provided your credentials in the **Authorize** option, and for the endpoint.
-
-```sh title="Curl options"
-curl \
-  -X POST 'http://<HOST>:8080/api/v1/oauth/client' \
-  -H 'Authorization: Bearer <root_access_token>'
-  -H 'Content-Type: application/json'
-  -d '{ "scopes": ["policy:read", "rule:read"]}'
-```
-
-The authorization header value is formed as `Bearer <token>`, and the request's `Content-Type` is `application/json`.
-### Authorize a client with scopes
-
-To add scopes to the client, the body of your request must contain an array of scope tokens.
-
-You can retrieve the available scopes by calling [`GET /api/v1/oauth/scopes`](/api/index.md#operations-OAuth-read_scopes_api_v1_oauth_scope_get).
-
-If the call is successful, Fides will respond with a new client ID/client secret pair:
-
-```
-HTTP/1.1 200 OK
-Content-Type: application/json
-
-{
-  "client_id" : "<new_client_id>"
-  "client_secret" : "<new_client_secret>",
-}
-```
-## Create an access token
-You then create a new access token by calling [`POST /api/v1/oauth/token`](../api/index.md#operations-OAuth-acquire_access_token_api_v1_oauth_token_post) with the new credentials.
-
-In the above example, the new access token only lets the client read policies and rules. The client cannot create other clients, write policies, or perform other operations using Fides APIs.
-
-### Access token expiration
-
-By default, access tokens expire after 11520 minutes (8 days). To specify a different expiration time (in minutes) set the `OAUTH_ACCESS_TOKEN_EXPIRE_MINUTES` environment variable, or the `oauth_access_token_expire_minutes` value in your `fides.toml`.
-
-If you call the Fides API with an expired token, the call returns `401`.
-
-### Other OAuth Calls
-
-Fides defines OAuth operations that let you delete a client, and read and write a client's scopes. See the [**OAuth** section of the **API** documentation](/api/index.md#operations-tag-OAuth) for details.
diff --git a/docs/fides/docs/guides/policies.md b/docs/fides/docs/guides/policies.md
deleted file mode 100644
index 0a6517c637..0000000000
--- a/docs/fides/docs/guides/policies.md
+++ /dev/null
@@ -1,234 +0,0 @@
-# Create a Fides Policy
-
-## What is a Policy?
-Fides resources provide metadata about systems and services, the data categories they process, and the uses of that data. *Policies* allow you to enforce constraints on these declarations, decide what combinations to allow or reject, and begin to control data privacy at its source.
-
-The purpose of a privacy policy is to state what types of data are allowed for certain means of use. In Fides, a Policy is made up of rules against which the system's [resources](../getting-started/generate_resources.md) are evaluated. Policies evaluate the data subjects, data category, and data qualifier values against data use cases. This generates a boolean output to either allow or reject the process from proceeding.
-
-### Policy attributes
-Policies use the following attributes:
-
-| Name | Type | Description |
-| --- | --- | --- |
-| `fides_key` | FidesKey | An identifier label that must be unique within your organization. A fides_key can only contain alphanumeric characters and `_`. |
-| `data_categories` | List[DataRule] | The types of sensitive data as defined by the taxonomy. |
-| `data_uses` | List[DataRule] | The various categories of data processing and operations within your organization. |
-| `data_subjects` | List[DataRule] | The individual persons to whom you data rule pertains. |
-| `data_qualifier` | String | The acceptable or non-acceptable level of de-identification. |
-
-!!! Tip "For more detail on Policy resources, see the full [Policy resource documentation](https://ethyca.github.io/fideslang/resources/policy)."
-
-### Sample Policy
-
-```yaml
-policy:
-  - fides_key: flaskr_policy
-    name: Flaskr Privacy Policy
-    description: A privacy policy for the example Flask app
-    rules:
-      - fides_key: minimize_user_identifiable_data
-        name: Minimize User Identifiable Data
-        description: Reject collecting any user identifiable data for uses other than system operations
-        data_categories:
-          matches: ANY
-          values:
-            - user.provided.identifiable
-            - user.derived.identifiable
-        data_uses:
-          matches: ANY
-          values:
-            - improve
-            - personalize
-            - advertising
-            - third_party_sharing
-            - collect
-            - train_ai_system
-        data_subjects:
-          matches: ANY
-          values:
-            - customer
-        data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-
-      - fides_key: reject_sensitive_data
-        name: Reject Sensitive Data
-        description: Reject collecting sensitive user data for any use
-        data_categories:
-          matches: ANY
-          values:
-            - user.provided.identifiable.biometric
-            - user.provided.identifiable.childrens
-            - user.provided.identifiable.genetic
-            - user.provided.identifiable.health_and_medical
-            - user.provided.identifiable.political_opinion
-            - user.provided.identifiable.race
-            - user.provided.identifiable.religious_belief
-            - user.provided.identifiable.sexual_orientation
-        data_uses:
-          matches: ANY
-          values:
-            - provide
-            - improve
-            - personalize
-            - advertising
-            - third_party_sharing
-            - collect
-            - train_ai_system
-        data_subjects:
-          matches: ANY
-          values:
-            - customer
-        data_qualifier: aggregated
-```
-
-This Fides policy is relatively restrictive. The two rules (`minimize_user_identifiable_data` and `reject_sensitive_data`) can be interpreted as:
-
-1. Do not use identifiable data for anything other than the app's primary functions.
-1. Do not collect _any_ sensitive data at all. As a safe default, this is the type of policy you might add to all projects.
-
-
-## Maintaining your Policies
-As global privacy laws change and businesses scale, a company's policies will evolve with them. Updating this resource file should become a regular part of the development planning process when building a new feature. 
-
-
-## Example Policies
-The following are examples of real-world use cases for Fides Policies, representing common business requirements or legislation.
-
-!!! Note "Always ensure your Policies accurately represent your business needs prior to using them in production environments."
-
-### No Third-Party Data Sharing
-
-```yaml title="data_sharing_policy.yml"
-policy:
-  - fides_key: data_sharing_policy
-    name: Data Sharing
-    description: The privacy policy that governs sharing of data with third parties.
-    rules:
-      - name: Disallow Third-Party Marketing
-        description: Disallow collecting any user contact info to use for marketing.
-        data_categories:
-          matches: ANY # If any of these data categories are being used
-          values:
-            - account
-            - user
-        data_uses:
-          matches: ANY # And the use of the data is for third-party sharing
-          values:
-            - third_party_sharing
-        data_subjects:
-          matches: ANY # And the data subject is a customer
-          values:
-            - customer
-        # And the data is identifiable, trigger a violation
-        data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-```
-
-### Respecting Employee Data Privacy
-
-```yaml title="employee_data_processing_policy.yml"
-policy:
-  - fides_key: employee_data_processing
-    name: Employee Data Processing
-    description: Restrict employee data processing only to that which is required for systematic business functions.
-    rules:
-      - name: Disallow Non-System Use of Employee Data
-        data_categories:
-          matches: ANY # If any of these data categories are being used
-          values:
-            - account
-            - user
-        data_uses:
-          matches: OTHER # And the use of the data is something other than...
-          values:
-            - provide.service.operations
-            - improve.system
-            - collect
-        data_subjects:
-          matches: ANY # And the data subject is an employee
-          values:
-            - employee
-        # And the data is identifiable, trigger a violation
-        data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-```
-
-### Respecting Biometric PII
-
-```yaml title="biometric_data_policy.yml"
-policy:
-  - fides_key: biometric_data_policy
-    name: Biometric Data
-    description: Policy that describes valid uses of biometric and health data.
-    rules:
-      - name: Disallow Biometrics for Profit.
-        description: Disallow the use of biometric data for profit-related purposes.
-        data_categories:
-          matches: ANY # If any of these data categories are being used
-          values:
-            - user.derived
-            - user.provided.identifiable.credentials.biometric_credentials
-            - user.provided.identifiable.biometric
-        data_uses:
-          matches: ANY # And the use of the data is for any of the following...
-          values:
-            - advertising
-            - train_ai_system
-            - improve
-            - third_party_sharing
-        data_subjects:
-          matches: ANY # And the data subject is a customer
-          values:
-            - customer
-        # And the data is identifiable, trigger a violation
-        data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-```
-
-### Anonymous Derived User Contact Data
-
-```yaml title="derived_user_data_policy.yml"
-policy:
-  - fides_key: protect_derived_user_data
-    name: Protect Derived User Data
-    description: Policy that describes the proper use of derived user data.
-    rules:
-      - name: Disallow Non-Anonymized Derived User Data.
-        description: Require that any use of derived user data must be de-identified to the anonymous level, as opposed to the pseudonymous.
-        data_categories:
-          matches: ANY # If any of these data categories are being used
-          values:
-            - user
-            - account
-        data_uses:
-          matches: NONE # And for any data use
-          values: []
-        data_subjects:
-          matches: ANY # And the data subject is a customer
-          values:
-            - customer
-        # And the data is either pseudonymized or more identifiable, trigger a violation
-        data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized
-```
-
-### Phone Numbers for Transactional Messaging
-
-```yaml title="transactional_messaging_policy.yaml"
-policy:
-  - fides_key: transactional_messaging_policy
-    rules:
-      - name: Transactional Messaging only for phone numbers.
-        description: Allows use of phone numbers for transactional messaging only.
-        data_categories:
-          matches: ANY # If any of these data categories are being used
-          values:
-            - user.provided.identifiable.contact.phone_number
-        data_uses:
-          matches: OTHER # And a data use other than these have been declared
-          values:
-            - provide.service.operations
-            - provide.service.operations.support
-        data_subjects:
-          matches: ANY # And the data subject is a customer
-          values:
-            - customer
-        # And the data is identifiable, trigger a violation
-        data_qualifier: aggregated.anonymized.unlinked_pseudonymized.pseudonymized.identified
-```
-
diff --git a/docs/fides/docs/guides/policy_webhooks.md b/docs/fides/docs/guides/policy_webhooks.md
deleted file mode 100644
index ec2e41c5de..0000000000
--- a/docs/fides/docs/guides/policy_webhooks.md
+++ /dev/null
@@ -1,194 +0,0 @@
-
-# Configure Execution Policy Webhooks
-
-## What is a Policy webhook?
-
-An webhook is an HTTPS callback that you've defined on an [execution policy](../getting-started/execution_policies.md) to call an external REST API endpoint either *before* or *after* a privacy bequest executes.
-
-Webhooks can be `one_way`, where the API is pinged and the privacy request continues, or `two_way`, where Fides will wait for a response. Any derived values returned from a `two_way` webhook will be saved, and can be used to locate other user information. For example, a webhook might take a known `email` `identity` and use that to find a `phone_number` `derived_identity`.
-
-## Configuration
-
-The process below will define an `https` [Connection](../getting-started/database_connectors.md) that contains the details to make a request to your API endpoint, and then create a `PolicyPreWebhook` or a `PolicyPostWebhook`for a specific execution policy using that Connection.
-
-### Create an HTTPS Connection
-
-The information that describes how to connect to your API endpoint is represented by a Fides [Connection](../getting-started/database_connectors.md)
-
-```json title="<code>PATCH /v1/connection</code>"
-[
-    {
-      "name": "My Webhook Connection Configuration",
-      "key": "test_webhook_connection_config",
-      "connection_type": "https",
-      "access": "read"
-    }
-]
-```
-
-
-### Add your Connection secrets
-
-The credentials needed to access your API endpoint are defined by making a PUT to the Connection Secrets endpoint. These credentials are encrypted in the Fides `app` database
-
-```json title="<code>PUT /v1/connection/test_webhook_connection_config</code>"
-    {
-        "url": "https://www.example.com",
-        "authorization": "test_authorization"
-    }
-```
-
-### Define pre-execution or post-execution webhooks
-
-After you've defined a new Connection, you can create lists of webhooks to run *before* (`PolicyPreWebhooks`)
-or *after* (`PolicyPostWebhooks`) a privacy request is executed.
-
-When defining webhooks, they should be included in the request body in the desired order. Any webhooks on the execution policy *not* included in the request will be removed from the policy.
-
-To update a list of PolicyPreWebhooks
-
-```json title="<code>PUT /policy/{policy_key}/webhook/pre_execution</code>"
-[
-    {
-        "connection_config_key": "test_webhook_connection_config",
-        "direction": "one_way",
-        "key": "wake_up_snowflake_db",
-        "name": "Wake up Snowflake DB Webhook"
-    },
-     {
-        "connection_config_key": "test_webhook_connection_config",
-        "direction": "two_way",
-        "key": "prep_systems_webhook",
-        "name": "Prep Systems Webhook"
-    }
-]
-```
-
-This creates two webhooks that are run sequentially for the execution policy before a privacy request runs.
-
-Similarly, to update your list of post-execution webhooks on a policy, use the following endpoint
-
-```
-PUT /policy/{policy_key}/webhook/post_execution
-```
-
-See API docs for more information on how to [Update PolicyPreWebhooks](../api/index.md#operations-Policy_Webhooks-create_or_update_pre_execution_webhooks_api_v1_policy__policy_key__webhook_pre_execution_put)
-and how to [Update PolicyPostWebhooks](../api/index.md#operations-Policy_Webhooks-create_or_update_post_execution_webhooks_api_v1_policy__policy_key__webhook_post_execution_put).
-
-### Update a single webhook
-
-To update a single webhook, send a PATCH request to update selected attributes. **Updates to order can likewise update the order of related webhooks.**
-
-The following example will update the PolicyPreWebhook with key `webhook_hook` to be `two_way` instead of
-`one_way`, and will update its order from 0 to 1.  Because we've defined two PolicyPreWebhooks, this causes the
-webhook at position 1 to move to position 0.
-
-```json title="<code>PATCH /policy/{policy_key}/webhook/pre-execution/wake_up_snowflake_db</code>"
-{
-    "direction": "two_way",
-    "order": 1
-}
-```
-
-Because this PATCH request updated the order of other webhooks, a reordered summary is included under the
-`new_order` attribute:
-
-```json title="Response"
-{
-    "resource": {
-        "direction": "two_way",
-        "key": "wake_up_snowflake_db",
-        "name": "Wake up Snowflake DB Webhook",
-        "connection_config": "<TRUNCATED>",
-        "order": 1
-    },
-    "new_order": [
-        {
-            "key": "prep_systems_webhook",
-            "order": 0
-        },
-        {
-            "key": "wake_up_snowflake_db",
-            "order": 1
-        }
-    ]
-}
-```
-
-Similarly, to update your a post-execution webhook on an execution policy, use the following endpoint:
-
-```
-PATCH /policy/{policy_key}/webhook/post_execution/{post_execution_key}
-```
-
-See API docs for more information on how to [PATCH a PolicyPreWebhook](../api/index.md#operations-Policy_Webhooks-update_pre_execution_webhook_api_v1_policy__policy_key__webhook_pre_execution__pre_webhook_key__patch)
-and how to [PATCH a PolicyPostWebhook](../api/index.md#operations-Policy_Webhooks-update_post_execution_webhook_api_v1_policy__policy_key__webhook_post_execution__post_webhook_key__patch).
-
-## Webhook request format
-
-Before and after running access or erasure requests, Fides will send requests to any configured webhooks in sequential order
-with the following request body:
-
-```json title="<code>POST {user-defined URL}</code>"
-{
-  "privacy_request_id": "pri_029832ba-3b84-40f7-8946-82aec6f95448",
-  "direction": "one_way | two_way",
-  "callback_type": "pre | post",
-  "identity": {
-    "email": "customer-1@example.com",
-    "phone_number": "555-5555"
-  }
-}
-```
-
-These attributes were configured at the time of webhook creation. Known identities are also embedded in the request.
-
-For `two-way` webhooks, Fides includes specific headers to pause request execution while any additional processing takes place
-
-```json
-{
-  "reply-to": "/privacy-request/{privacy_request_id}/resume",
-  "reply-to-token": "<jwe_token>"
-}
-```
-
-To resume, send a request to the `reply-to` URL with the `reply-to-token`.  The `reply-to-token` will
-expire when your Redis cache expires (represented by `default_ttl_seconds` in your Fides [config](../installation/configuration.md). When a request expires, it is be given an `error` status, and requires resubmission.
-
-## Webhook response format
-
-Your webhook should respond immediately. If more processing time is needed, either make sure it is configured as a
-`one-way` webhook, or reply with `halt=True` if you want to pause execution and wait for any processing to finish.
-**Note that only pre-execution webhooks can pause execution.**
-
-Responses aren ot expected from `one-way` webhooks, but `two-way` webhooks should respond with the following
-
-```json
-{
-  "derived_identity": {
-    "email": "customer-1@gmail.com",
-    "phone_number": "555-5555"
-  },
-  "halt": "true | false"
-}
-```
-
-Derived identity is optional: a returned email or phone number will replace currently known emails or phone numbers.
-
-## Resuming request execution
-
-Once a paused webhook has completed processing, send a request to the `reply-to` URL sent in the original request header, along with the `reply-to-token` auth token.
-
-```json title="<code>POST privacy_request/{privacy-request-id}/resume</code>"
-{
-  "derived_identity": {
-    "email": "customer-1@gmail.com",
-    "phone_number": "555-5555"
-  }
-}
-
-```
-
-If there are no derived identities, send an empty `{}` request body.
-
-The `reply-to-token` is a JWE containing the current webhook ID, scopes to access the callback endpoint, and the datetime the token is issued.  Fides unpacks this and resumes the privacy request execution after the specified webhook. The `reply-to-token` expires after a set amount of time, (the `privacy_request_delay_timeout` in your Fides [config](../installation/configuration.md)). Once the Redis cache expires, Fides no longer has the original identity data and the privacy request should be resubmitted
diff --git a/docs/fides/docs/guides/query_execution.md b/docs/fides/docs/guides/query_execution.md
deleted file mode 100644
index 5f1c46c1ff..0000000000
--- a/docs/fides/docs/guides/query_execution.md
+++ /dev/null
@@ -1,153 +0,0 @@
-# Query Execution
-
-## Graphs and Traversals
-
-Fides uses your Datasets to generate a _graph_ of the resources. Based on the identity data you provide, Fides then generates a specific _traversal_, which is the order of steps that will be taken to fulfill a specific request.
-
-The graph supports both directed and non-directed edges using the optional `direction` parameter on the relation (non-directional edges may be traversed in either direction). You can preview the queries that will be generated or manually control the order of operations by making relations explicitly directional and with the `after` Collection parameters. If you specify a Collection that can't be reached, Fides generates an error.
-
-## An example graph
-
-In this example there are three databases: a mysql database that stores users and their comments, a postgres DB that stores purchase information, and a mongoDB that stores user accounts. Each of them may have related data that we'd like to retrieve.
-
-![Example tables](../img/traversal_tables.png "Example tables")
-
-The Dataset specification looks like this:
-
-``` yaml
-dataset:
-  - fides_key: mongo_1
-    collections:
-      - name: users
-        fields:
-          - name: _id
-            fidesops_meta:
-              primary_key: True
-          - name: user_name
-            fidesops_meta:
-              identity: username
-           - name: full_name
-
-      - name: accounts
-        fields:
-          - name: _id
-            fidesops_meta:
-              primary_key: True
-          - name: name
-            fidesops_meta:
-                references:
-                    - dataset: mongo_1
-                      name: users.full_name
-                      direction: from
-          - name: comments
-```
-
-``` yaml
-dataset:
-  - fides_key: mysql_1
-    collections:
-      - name: users
-        fields:
-          - name: id
-            fidesops_meta:
-              primary_key: True
-              references:
-                - dataset: postgres_1
-                  field: users.id
-                  direction: from
-          - name: internal_id
-          - name: comment
-```
-
-``` yaml
-dataset:
-  - fides_key: postgres_1
-    collections:
-      - name: purchase_items
-        fields:
-          - name: id
-            fidesops_meta:
-              primary_key: True
-          - name: purchase_id
-            fidesops_meta:
-              references:
-                - dataset: postgres_1
-                  field: purchases.id
-                  direction: from
-          - name: amount
-          - name: rating
-
-      - name: purchases
-        fields:
-          - name: id
-            fidesops_meta:
-              primary_key: True
-          - name: user_id
-            fidesops_meta:
-              references:
-                - dataset: postgres_1
-                  field: users.id
-          - name: amount
-      - name: users
-        fields:
-          - name: id
-            fidesops_meta:
-              primary_key: True
-          - name: email
-              fidesops_meta:
-                identity: email
-          - name: address_id
-```
-
-Fides triggers a retrieval with identity data, such as an email address or user ID, that's provided by the user, and will then:
-
-1. Identify the collections that contain the identity data that belong to the user.
-2. Find all related records.
-3. Use the data to find all connected data.
-4. Continue until we've found all related data.
-
-For the first step, Fides uses the concept of an `identity`. In the Fides [Dataset](../getting-started/datasets.md) specification, any field may be marked with an `identity` notation:
-
-``` yaml
-collection:
-  - name: foo
-    fields:
-    - name: bar
-        fidesop_meta:
-           identity: email 
-```
-
-Fides will initiate the data retrieval process with provided data that looks like `{"email": "user@example.com", "username": "someone"}` by looking for values in the collection `users` where `email == user@example.com`.  
-
-Note that the names of the provided starter data do not need to match the field names Fides will use this data to search. In the above case, you can also choose to start a search using the **username** provided value. This would result in enough data to search in both `postgres_1.users.email` and `mongo_1.users.user_name` noted in the diagram.
-
-## How does Fides execute queries?
-The next step is to follow any links provided in field relationship information. In the abbreviated dataset declarations below, the `mongo_1.accounts` data contains data related to `mongo_1.users`. Data can be retrieved from `mongo_1.accounts` by generating this set of queries:
-
-``` sql
-# mongo_1
-1. db.users.find({"user_name":"someone"},{"_id":1, "full_name":1}) 
-2. db.accounts.find({"name":{"$in":[  <full_name value from (1) > ]}},{"_id":1, "comments":1})
-
-# postgres_1
-3. select id, address_id from users where email = 'user@example.com';
-4. select id, amount from purchases where user_id in [ <id values from (3) >] 
-5. select id, amount, rating from purchase_items where purchase_id in [ <id values from (4)> ]
-
-# mysql_1
-6. select internal_id, comment from users where id in [ <id values from (3) >]
-```
-
-Behind the scenes, Fides is creating linked graph using the connections you've specified between your collections to retrieve your data.
-
-![Example graph](../img/traversal_graph.png "Example graph")
-
-## Notes about Dataset traversals
-
-* You can define multiple links between collections, which will generate OR queries like `SELECT a,b,c from TABLE_1 where name in  (values from TABLE\_2)  OR email in (values from TABLE\_3)`.
- 
-* It's an error to specify a collection in your Dataset can't be reached through the relations you've specified.
-
-* Fides uses your Datasets and your input data to "solve" the graph of your collections and how it is traversed. If your Dataset has multiple identity values, you can create a situation where the query behavior depends on the values you provide. In the example above, starting the graph traversal with `{"email": "value1", "username":" value2"}` is valid, but starting with  `{"email": "value1"}` fails because `mongo_1.users` is no longer reachable.
- 
-* As shown in the example, you can create queries between Datasets.
diff --git a/docs/fides/docs/guides/reporting.md b/docs/fides/docs/guides/reporting.md
deleted file mode 100644
index c7293cae6a..0000000000
--- a/docs/fides/docs/guides/reporting.md
+++ /dev/null
@@ -1,330 +0,0 @@
-# Report on Privacy Requests
-## Overview
-
-The reporting feature allows you to fetch information about privacy requests. You can opt for high-level status 
-information, or get more detailed information about the status of the requests on each of your collections.
-
-
-## View high-level statuses
-
-This request displays concise, high-level information for all your privacy requests including their status and related timestamps.
-
-View he [API docs here](../api/index.md#operations-Privacy_Requests-get_request_status_api_v1_privacy_request_get).
-
-```json title="<code>GET api/v1/privacy-request</code>"
-{
-    "items": [
-        {
-            "id": "pri_5f4feff5-fb60-4286-82bd-7e0748ce90ac",
-            "created_at": "2021-10-04T17:36:32.223287+00:00",
-            "started_processing_at": "2021-10-04T17:36:37.248880+00:00",
-            "finished_processing_at": "2021-10-04T17:36:37.263121+00:00",
-            "status": "pending"
-        }
-    ],
-    "total": 1,
-    "page": 1,
-    "size": 50
-}
-```
-
-### View a single privacy request
-
-Use the `id` query param to view the high level status of a single privacy request.
-
-```
-GET api/v1/privacy-request?request_id=<privacy_request_id>
-```
-
-If an `external_id` was provided at request creation, we can also track the privacy request using:
-
-```
-GET api/v1/privacy-request?external_id=<external_id>
-```
-
-!!! Note "These parameters will return matching privacy requests based on `startswith` matches."
-
-### Filtering options
-
-Use the following query params to further filter your privacy requests.  Filters can be chained, for example, 
-
-```
-GET api/v1/privacy-request?created_gt=2021-10-01&created_lt=2021-10-05&status=pending
-```
-
-- `id`
-- status (one of `in_processing`, `pending`, `paused`, `complete`, or `error`)
-- `created_lt`
-- `created_gt`
-- `started_lt`
-- `started_gt`
-- `completed_lt`
-- `completed_gt`
-- `errored_lt`
-- `errored_gt`
-
-You can filter for multiple statuses by repeating the status query param:
-
-```
-GET api/v1/privacy-request?status=paused&status=complete
-```
-
-
-
-## View privacy request logs
-
-To view all the execution logs for a privacy request, visit `/api/v1/privacy-request/{privacy_request_id}/logs`.
-Embedded logs in the previous endpoints are truncated at 50 logs.
-
-View the [API docs here](../api/index.md#operations-Privacy_Requests-get_request_status_logs_api_v1_privacy_request__privacy_request_id__log_get).
-
-
-## View a request's identity data
-Use the optional `include_identities` query param to include all identity data that was submitted for the privacy request. Due to the way Fides stores identity data, this data will expire automatically according to the `FIDES__REDIS__DEFAULT_TTL_SECONDS` variable in your Fides [config](../installation/configuration.md).
-
-If the identity data fetched by `include_identities` has expired, an empty JSON dictionary will be returned.
-
-## View individual request log details
-The `verbose` query parameter will display more details about individual collections visited as part of the privacy request, along with individual statuses. Individual collection statuses include `in_processing`, `retrying`, `complete` or `error`. You may see multiple logs for each collection as they reach different steps in the lifecycle.  
-
-The `verbose` parameter will embed a “results” key in the response, with both audit logs containing information about the overall request, as well as execution logs grouped by dataset name.  
-
-In the example below, there are two datasets: `my-mongo-db` and `my-postgres-db`. There are two execution logs for `my-mongo-db` (when the `flights` collection is starting execution, and when the `flights` collection has finished), and two execution
-logs for `my-postgres-db` (when the `order` collection is starting and finishing execution). The `fields_affected` are the fields
-that were potentially returned or masked based on the [Rules](../getting-started/execution_policies.md#add-a-rule) you've specified on the execution policy. 
-
-The embedded execution logs are automatically truncated at 50 logs. To view the entire list of logs, visit the execution logs endpoint separately. "Request approved" and "Request finished" audit logs are also included in the response.
-
-```json title="<code>GET api/v1/privacy-request?request_id={privacy_request_id}&verbose=True</code>"
-{
-    "items": [
-        {
-            "id": "pri_2e0655c3-7a76-425e-8c4c-52fee32ce14b",
-            "created_at": "2022-02-28T16:38:03.878898+00:00",
-            "started_processing_at": "2022-02-28T16:38:04.021763+00:00",
-            "finished_processing_at": "2022-02-28T16:38:06.211547+00:00",
-            "status": "complete",
-            "external_id": null,
-            "results": {
-                 "Request approved": [
-                    {
-                        "collection_name": null,
-                        "fields_affected": null,
-                        "message": "",
-                        "action_type": null,
-                        "status": "approved",
-                        "updated_at": "2022-08-11T14:03:37.679732+00:00",
-                        "user_id": "system"
-                    }
-                ],
-                "my-mongo-db": [
-                    {
-                        "collection_name": "flights",
-                        "fields_affected": [],
-                        "message": "starting",
-                        "action_type": "access",
-                        "status": "in_processing",
-                        "updated_at": "2022-02-28T16:38:04.668513+00:00"
-                    },
-                     {
-                        "collection_name": "flights",
-                        "fields_affected": [
-                            {
-                                "path": "mongo_test:flights:passenger_information.full_name",
-                                "field_name": "passenger_information.full_name",
-                                "data_categories": [
-                                    "user.name"
-                                ]
-                            }
-                        ],
-                        "message": "success",
-                        "action_type": "access",
-                        "status": "complete",
-                        "updated_at": "2022-02-28T16:38:04.727094+00:00",
-                        "user_id": null
-                    }
-                ],
-                "my-postgres-db": [
-                    {
-                        "collection_name": "order",
-                        "fields_affected": [],
-                        "message": "starting",
-                        "action_type": "access",
-                        "status": "in_processing",
-                        "updated_at": "2022-02-28T16:38:04.668513+00:00"
-                    },
-                    {
-                        "collection_name": "order",
-                        "fields_affected": [
-                            {
-                                "path": "order.customer_name",
-                                "field_name": "name",
-                                "data_categories": [
-                                    "user.name"
-                                ]
-                            }
-                        ], 
-                        "message": "success",
-                        "action_type": "access",
-                        "status": "complete",
-                        "updated_at": "2022-02-28T16:39:04.668513+00:00",
-                        "user_id": null
-                    }
-                ]
-            },
-            "Request finished": [
-                {
-                    "collection_name": null,
-                    "fields_affected": null,
-                    "message": "",
-                    "action_type": null,
-                    "status": "finished",
-                    "updated_at": "2022-08-11T14:04:29.611878+00:00",
-                    "user_id": "system"
-                }
-            ]
-        }
-    ],
-    "total": 1,
-    "page": 1,
-    "size": 50
-}
-
-
-```
-## Download all privacy requests as a CSV 
-To get all privacy requests in CSV format, use the `download_csv` query param:
-
-
-```csv title="<code>GET api/v1/privacy-request/?download_csv=True</code>"
-Time received,Subject identity,Policy key,Request status,Reviewer,Time approved/denied
-2022-03-14 16:53:28.869258+00:00,{'email': 'customer-1@example.com'},my_primary_policy,complete,fid_16ffde2f-613b-4f79-bbae-41420b0f836b,2022-03-14 16:54:08.804283+00:00
-```
-
-## Paused or failed request details
-A privacy request may pause when manual input is needed from the user, or it might fail for various reasons on a specific collection.  
-
-To retrieve information to resume or retry a privacy request, the following endpoint is available:
- ```
- GET api/v1/privacy-request?request_id=<privacy_request_id>
- ```
-
-### Paused access request example
-The request below is in a `paused` state as it waits on manual input from the user to proceed. Looking at the `stopped_collection_details` key shows the request paused execution during the `access` step of the `manual_key:filing_cabinet` collection. 
-
-The `action_needed.locators` field shows the user they should fetch the record in the filing cabinet with a `customer_id` of `72909`, and pull the `authorized_user`, `customer_id`, `id`, and `payment_card_id` fields from that record. These values should be manually uploaded to the `resume_endpoint`. 
-
-See the [manual data guides](../getting-started/datasets.md#resume-a-paused-access-privacy-request) for more information on resuming a paused access request.
-                          
-
-```json
-{
-    "items": [
-        {
-            "id": "pri_ed4a6b7d-deab-489a-9a9f-9c2b19cd0713",
-            "created_at": "2022-06-06T20:12:28.809815+00:00",
-            "started_processing_at": "2022-06-06T20:12:28.986462+00:00",
-            ...,
-            "stopped_collection_details": {
-                "step": "access",
-                "collection": "manual_key:filing_cabinet",
-                "action_needed": [
-                    {
-                        "locators": {
-                            "customer_id": [
-                                72909
-                            ]
-                        },
-                        "get": [
-                            "authorized_user",
-                            "customer_id",
-                            "id",
-                            "payment_card_id"
-                        ],
-                        "update": null
-                    }
-                ]
-            },
-            "resume_endpoint": "/privacy-request/pri_ed4a6b7d-deab-489a-9a9f-9c2b19cd0713/manual_input"
-        }
-    ],
-    "total": 1,
-    "page": 1,
-    "size": 50
-}
-```
-
-### Paused erasure request example
-
-The request below is in a `paused` state for user to confirm they've masked the appropriate data before proceeding. 
-
-The `stopped_collection_details` shows that the request paused execution during the `erasure` step of the `manual_key:filing_cabinet` collection. Looking at `action_needed.locators` field shows that the user should find the record in the filing cabinet with an `id` of 2, and replace its `authorized_user` with `None`. 
-
-A confirmation of the masked records count should be uploaded to the `resume_endpoint`. See the [manual data guides](../getting-started/datasets.md#resume-a-paused-erasure-privacy-request) for more information on resuming a paused erasure request.
-              
-```json
-{
-    "items": [
-        {
-            "id": "pri_59ea0129-fc6d-4a12-a5bd-2ee647bf5cec",
-            "created_at": "2022-06-06T20:22:05.436361+00:00",
-            "started_processing_at": "2022-06-06T20:22:05.473280+00:00",
-            "finished_processing_at": null,
-            "status": "paused",
-            ...,
-            "stopped_collection_details": {
-                "step": "erasure",
-                "collection": "manual_key:filing_cabinet",
-                "action_needed": [
-                    {
-                        "locators": {
-                            "id": 2
-                        },
-                        "get": null,
-                        "update": {
-                            "authorized_user": null
-                        }
-                    }
-                ]
-            },
-            "resume_endpoint": "/privacy-request/pri_59ea0129-fc6d-4a12-a5bd-2ee647bf5cec/erasure_confirm"
-        }
-    ],
-    "total": 1,
-    "page": 1,
-    "size": 50
-}
-
-
-```
-
-### Failed request example
-
-The below request is an `error` state because something failed in the `erasure` step of the `postgres_dataset:payment_card` collection.  
-
-After troubleshooting the issues with your postgres connection, resume the request with a POST to the `resume_endpoint`.
-
-```json
-{
-    "items": [
-        {
-            "id": "pri_59ea0129-fc6d-4a12-a5bd-2ee647bf5cec",
-            "created_at": "2022-06-06T20:22:05.436361+00:00",
-            "started_processing_at": "2022-06-06T20:22:05.473280+00:00",
-            "finished_processing_at": null,
-            "status": "error",
-            ...,
-            "stopped_collection_details": {
-              "step": "erasure",
-              "collection": "postgres_dataset:payment_card",
-              "action_needed": null
-            },
-            "resume_endpoint": "/privacy-request/pri_59ea0129-fc6d-4a12-a5bd-2ee647bf5cec/retry"
-        }
-    ],
-    "total": 1,
-    "page": 1,
-    "size": 50
-}
-
-```
diff --git a/docs/fides/docs/guides/request_execution.md b/docs/fides/docs/guides/request_execution.md
deleted file mode 100644
index 6e845b43cd..0000000000
--- a/docs/fides/docs/guides/request_execution.md
+++ /dev/null
@@ -1,129 +0,0 @@
-# Privacy Request Execution
-
-Fully configured, Fides provides end-to-end [privacy request](../getting-started//privacy_requests.md) execution. The following outline summarizes the steps Fides takes to fulfill privacy requests, including optional configurations and manual data retrieval. 
-
-## Privacy request submission
-
-Once a privacy request has been submitted via the [Privacy Center](../ui/privacy_center.md), Fides first creates temporary records to store any relevant submission information.
-
-Based on your [configuration](../installation/configuration.md), Fides can perform a number of other actions: 
-
-| Step | Description                                                                                                                                                                                               |
-| --- |-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| **Persist** | Fides creates a privacy request in long-term storage to capture high-level information (e.g. date created, current status). Fides saves the identity of the subject to both short- and long-term storage. |
-| **Verify** | If configured, Fides sends an [email](../getting-started/privacy_requests.md#subject-identity-verification) to the user to verify their identity before proceeding.                                       |
-| **Notify** | If configured, the user will receive an [email](./messaging.md) verifying that their request has been received.                                                                                           |
-| **Approve** | If configured, Fides will require a system administrator to [approve](../installation/configuration.md) the request before proceeding.                                                                    |
-
-## Privacy request execution
-
-When the required submission steps have been completed, the request status is updated to `in_processing`, and the privacy request is dispatched to a separate queue for processing. 
-
-Request execution involves gathering data from multiple sources, and/or masking data in multiple locations. Fides will follow the steps below in order, skipping any that are not applicable for the given request (or not configured):
-
-  1. Respond to manual webhooks
-  2. Run policy pre-execution webhooks
-  3. Access request automation
-  4. Upload results
-  5. Erasure request automation
-  6. Send erasure request emails
-  7. Run policy post-execution webhooks
-  8. Send email notifications
-
-### Respond to manual webhooks
-
-Manual webhooks allow data pertaining a subject to be manually uploaded by a Fides admin. If manual webhooks are enabled, request execution will exit with a status of `requires_input` until a submission has been received for each manual webhook configured. The privacy request can then be resumed, and request execution will continue from this step.  See [Manual Webhooks](manual_webhooks.md) for more information on configuration options and resuming a `requires_input` request.
-
-Data uploaded for manual webhooks will be returned to the data subject directly at the end of request execution. Data gathered here is not used to locate data from other sources.
-
-### Run pre-execution webhooks
-Policy pre-execution webhooks let your system take care of prerequisite tasks, or locate additional identities for the data subject. Examples include turning on a specific database in your infrastructure, or locating a phone number for a subject from a table for which you do not want to give Fides direct access. Configuration involves defining endpoint(s) for Fides to call in order. See [Policy Webhooks](policy_webhooks.md) for more details.
-
-Fides sends a request to each pre-execution webhook with a [policy webhooks request format](policy_webhooks.md#policy-webhook-request-format), which your endpoints should be prepared to unpack. If you need more time to carry out an action, your webhook can instruct Fides to `halt`, which will cause execution to exit with a status of `paused`. Request execution can be continued when ready using a token supplied in the original request.
-
-No data uploaded by policy webhooks is returned to the data subject, but identities discovered can be used to later locate data pertaining to the subject during access request automation.
-
-If a request to a pre-execution webhook fails, request execution will exit with a status of `error`. Retrying the privacy request will resume from this step and attempt to re-run all pre-execution webhooks.
-
-
-### Access request automation
-Access request automation is performed regardless of whether there are access or erasure Rules defined, as both Rules require this data.  See how to [configure policies, rules, and rule targets](policies.md) for additional information.
-
-This step visits all Collections and retrieves all Fields that you've defined in your [Datasets](../getting-started/datasets.md). Fides builds a graph in accordance with how you've designated your Collections are related, visits each Collection in turn, and gathers all the results together.
-
-#### Graph building
-Fides builds a Directed Acyclic Graph, or DAG, where each location or node corresponds to a Collection in one of your Datasets. The graph helps determine the order in which nodes will be visited. Fides begins with any Collections that can be queried using the supplied identity data, and then points those Collections toward dependent Collections, etc. If Fides can't determine how to reach a Collection, it will exit early with a status of `error`.  To remedy an errored access request, you update how your Collections are related to each other in your Datasets, and resubmit the privacy request.
-
-![Access Graph](../img/access_graph.png)
-
-#### Graph Execution
-After the graph is built, Fides passes the result to [Dask](https://www.dask.org/) to execute sequentially. Fides visits one Collection at a time, following the graph created, and uses Dask to determine ordering for ties.
-
-For the first Collections in the graph connected to the root, Fides uses the customers' provided identity to locate subject data, by either making database queries or HTTP requests to a configured API endpoint. The details on how to access your data are determined by the [Connection](connection_types.md) type. Fides retrieves all Fields that have been configured on the Collection, and caches the results in temporary storage for usage later. Fides then passes the results of that Collection to downstream Collections that similarly make queries, temporarily cache the results, and return their results to their own downstream Collections.
-
-A Collection isn't visited until Fides has searched for data across all of its upstream Collections. This continues until all Collections have been visited. See [Query Execution](query_execution.md) for more information.
-
-![Access Execution](../img/access_execution.png)
-
-If there is a failure trying to retrieve data on any Collections, the request is retried the number of times [configured](../installation/configuration.md) by `task_retry_count` until the request exits with status `error`.  Both the `access` step and errored Collection are cached in temporary storage.
-Restarting the privacy request will restart from this step and failed Collection.  Collections that have already been visited will not be visited again.
-
-#### Final result retrieval
-The final step of an automated access request gathers all the results for each Collection from temporary storage.
-
-
-### Upload results
-If configured, Fides uploads the results retrieved from access automation for the data subject.
-
-For each configured access Rule, Fides filter the graph results to match targeted Data Categories. See [Datasets](../getting-started/datasets.md) for more details.
-Fides also supplements the results with any data manually uploaded from [manual webhooks](#respond-to-manual-webhooks). Each data package is uploaded in JSON
-or CSV format to a specified storage location like Amazon S3. See [Storage](../getting-started/storage.md) for more information.
-
-
-### Erasure request automation
-If applicable, (erasure [Rules](policies.md#Rule-attributes) are configured on your execution policy), Fides builds a simpler version of the access request graph, and visits each Collection in turn, performing masking requests as necessary.
-
-#### Graph building
-The "graph" for an erasure runs on the data from the access request, which is kept in temporary storage, and can be used to locate data for each Collection individually. Because the data has already been found, each Collection could be visited in any order or run in parallel. The graph is configured so each Collection has its previous access request results passed in as inputs, and each Collection returns a count of records masked when complete.
-
-![Erasure Graph](../img/erasure_graph.png)
-
-#### Graph execution
-Fides visits each Collection sequentially, using a deterministic order set by Dask. For each row of data retrieved in the access request step, Fides attempts to mask the data targeting the fields specified on your execution policy, using the [masking strategies](masking_strategies.md) you've defined. If no rows exist from the access request, or no Fields on that Collection match the targeted Data Categories, no masking occurs. Fides caches a count of the records
-that had fields masked in temporary storage.
-
-The masking request might involve an `update` database query or an `update` or `delete` HTTP request depending on the [Connection Type](connection_types.md). The Email Connector type doesn't mask any data itself, but instead persists how to locate and mask that Collection in temporary storage for use later.
-
-If masking fails on a given Collection, Fides retries the requests for a configured number of times, and then request execution will exit with a status of `error`. Fides will cache both the failed Collection and that the failure occurred on the `erasure` step. Retrying the privacy request will resume from the `erasure` step at the failed Collection. Previously masked Collections will not be masked again.
-
-
-### Send erasure request emails
-After the access and erasure steps have both executed, Fides checks if there are any third parties that need to be additionally emailed to complete erasure requests on your behalf. See [emailing third party services to mask data](messaging.md#Email-third-party-services-to-mask-data) for more information.
-
-Fides retrieves any masking instructions cached by Email Connectors in the erasure request step, and combines them into a single email per Dataset.
-
-This step is only performed if you have Email Connectors configured. If the email send fails for any reason, the request will exit with status `error`.  Fides will cache this step in temporary storage, so retrying the request will resume from this point.
-
-
-### Run policy post-execution webhooks
-After automated access and erasures have completed, post-execution webhooks can be used to perform any cleanup steps in your system.  Examples include setting up a webhook to shut down a database, or to delete user data from a source you don't want Fides to access directly.  Post-execution webhooks are more limited than Pre-execution webhooks. They currently cannot pause the graph, and should be configured as a series of API endpoints you would like Fides to call. See [policy webhooks](policy_webhooks.md) for more details on configuration.
-
-If a request to a post-execution webhook fails, request execution will exit with a status of `error`. Retrying the privacy request will resume from this step and attempt to re-run all the post-execution webhooks.
-
-
-### Send email notifications
-If configured, Fides will send a followup email to the data subject to let them know their request has finished processing.  For access Rules, the emails will contain links to where the data subject can retrieve data. For erasure Rules, the emails will simplify notify them that their request is complete.
-
-Request execution will then exit with the status `complete`.
-
-## Additional notes
-- Fides uses Redis as temporary storage to support executing your request.  Data automatically retrieved from each Collection, manually uploaded data, and details about where the Privacy Request may be paused or where it failed may all be temporarily stored.  This information will expire in accordance with the `FIDES__REDIS__DEFAULT_TTL_SECONDS` [setting](../installation/configuration.md).
-- The current Fides execution strategy prioritizes being able to erase as many of the original Collections requested as possible. If Fides masks some Collections and then registers a failure, the current logic will mask the original remaining Collections using the temporarily saved data retrieved in the original access step instead of re-querying the Collections. Once data is masked in one Collection, it could potentially prevent us from being able to locate data in downstream Collections, and so will use temporarily stored data.
-    - Data added in the interim, or data related to newly added Collections, can be missed.
-    - If the automated access step fails part of the way through, a new Collection is added, and then the request is restarted from failure,
-      Fides may miss data from already completed Collections downstream, and any Collections further downstream of that set.
-    - If the erasure step fails, a new Collection is added, and the request is restarted from failure, Fides may miss masking data from the new
-      Collection and data downstream of the new Collection.
-- Nodes on the graph correspond to individual Collections within Datasets, not Datasets.  The graph built may result in Fides
-visiting a Collection in one Dataset to be able to find data on a Collection in a separate Dataset, which is used to find data on a Collection in the original Dataset.
-- Automated access requests often select more Fields than may be returned specifically to the user because this data has multiple uses. Fides selects all Fields defined to be able to potentially query downstream Collections, filter data according to multiple access Rules, and mask data in accordance with multiple erasure Rules.
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y="14" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr">new commit or</text><text x="0" y="34" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr">new pull request</text></g><g transform="translate(1133.9429016113281 153.97012329101562) rotate(0 54 10)"><text x="0" y="14" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr">merge to main</text></g><g transform="translate(976.5572204589844 276.74468994140625) rotate(0 57 20)"><text x="57" y="14" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr">evaluate --dry</text><text x="57" y="34" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr">(all 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diff --git a/docs/fides/docs/index.md b/docs/fides/docs/index.md
index 5ae02130a5..cb63c1b8c2 100644
--- a/docs/fides/docs/index.md
+++ b/docs/fides/docs/index.md
@@ -6,23 +6,9 @@ The Fides developer tools allow engineers and legal teams to label system privac
 
 ## Key Features
 
-### End-to-End Data Subject Request Automation
-Start your Fides privacy engineering journey by running a DSR [against real databases](./getting-started/sample_project.md), or easily incorporate Fides into your [existing infrastructure](./dsr_quickstart/basic_setup.md).
+* End-to-End Data Subject Request Automation
+* Privacy-as-Code
+* Compliance-minded Data Mapping
+* Comprehensive Privacy Standard Support
 
- When your organization receives a privacy request, Fides will automatically fulfill it according to the [execution policies](./getting-started/execution_policies.md) your legal and business owners have created. Fides orchestrates connections to both your owned [databases](./getting-started/database_connectors.md) and [third-party systems](./saas_connectors/saas_config.md) to access, update, and delete sensitive data.
-
-
-### Privacy-as-Code
-Fides' extensible [description language](https://ethyca.github.io/fideslang/) allows you to describe your datasets and code in human-readable manifest files. Create a consistent, versioned definition of your system's privacy characteristics and resources for use in your [CI/CD pipeline](./cicd/examples), when processing [privacy requests](./getting-started/privacy_requests), or in the [Fides UI](./ui/overview/).
-
-### Compliance-minded Data Mapping
-Export a [data map](./guides/generate_datamaps/) of your connected databases and services, or run an [audit](./guides/generate_datamaps.md#auditing-resources/) of your resources to generate an Article 30-compliant Record of Processing Activities (RoPA). 
-
-### Comprehensive Privacy Standard Support
-Fides' [policy declarations](./guides/policies.md) efficiently describe the privacy behaviors of your system for major regulations, including [GDPR](https://ico.org.uk/for-organisations/guide-to-data-protection/guide-to-the-general-data-protection-regulation-gdpr/), [CCPA](https://ethyca.com/cpra-hub/) and [LGPD](https://iapp.org/news/a/the-new-brazilian-general-data-protection-law-a-detailed-analysis/) as well as major standards like [ISO 19944](https://www.iso.org/standard/79573.html).
-
-## Why is it called Fides?
-
-Fides was the goddess of trust and good faith in Roman paganism. Fides represented everything that was required for *"honor and credibility"* in every aspect of Roman life. In addition to this, Fides means *"reliability": reliability between two parties, which is always reciprocal*. Fides stood out for her embodiment of this project's philosophy - to provide developers with a powerful tool to make privacy a default feature of any software.
-
-If you'd like a brief Roman mythology lesson, check out [Fides on Wikipedia](https://en.wikipedia.org/wiki/Fides_(deity)).
+For more information, please visit our official docs site over at <https://docs.ethyca.com>
diff --git a/docs/fides/docs/installation/configuration.md b/docs/fides/docs/installation/configuration.md
deleted file mode 100644
index f9bbfcd114..0000000000
--- a/docs/fides/docs/installation/configuration.md
+++ /dev/null
@@ -1,329 +0,0 @@
-# Configuration
-
-The Fides application configuration variables are provided in a `fides.toml` file. Fides will use the first config file it reads from the following locations, in order:
-
-1. At the path specified using the config file argument passed through the CLI
-1. At the path specified by the `FIDES__CONFIG_PATH` environment variable
-1. In the current working directory
-1. In the parent working directory
-1. Two directories up from the current working directory
-1. The parent directory followed by `/.fides`
-1. The user's home (`~`) directory
-
-Fides can also run exclusively via environment variables. These can be used in tandem with a `toml` configuration file, with the environment variables overriding the toml configuration values.
-
-## Viewing your configuration
-
-You can view the current configuration of your application via either the CLI or API
-
-### CLI
-
-To view your application configuration via the CLI, run:
-
-```sh
-fides view config
-```
-
-The output will look something like this:
-
-```sh
-fides> fides view config 
-Loading config from: .fides/fides.toml
-Directory './.fides' already exists.
-Configuration file already exists: ./.fides/fides.toml
-To learn more about configuring fides, see:
-        https://ethyca.github.io/fides/installation/configuration/
-----------
-test_mode = false
-is_test_mode = false
-hot_reloading = false
-dev_mode = false
-
-[admin_ui]
-enabled = true
-
-[cli]
-local_mode = false
-analytics_id = "internal"
-server_protocol = "http"
-server_host = "localhost"
-...
-```
-
-The output after the initial separator (`----------`) is valid TOML, and can be copy/pasted for reuse as a functioning config file.
-
-For more information, see the [CLI docs](../cli.md).
-
-### API
-
-To view your application configuration via the CLI, run:
-
-```sh
-GET /api/v1/config
-```
-
-Fides will filter out any sensitive configuration variables. The full list of variables deemed safe to return is:
-
-#### Postgres database
-
-- `server`
-- `user`
-- `port`
-- `db`
-- `test_db`
-
-#### Redis cache
-
-- `host`
-- `port`
-- `charset`
-- `decode_responses`
-- `default_ttl_seconds`
-- `db_index`
-
-#### Security settings
-
-- `cors_origins`
-- `encoding`
-- `oauth_access_token_expire_minutes`
-
-#### Execution settings
-
-- `task_retry_count`
-- `task_retry_delay`
-- `task_retry_backoff`
-- `require_manual_request_approval`
-- `masking_strict`
-
-#### Notification settings
-
-- `send_request_completion_notification`
-- `send_request_receipt_notification`
-- `send_request_review_notification`
-- `notification_service_type`
-
-For more information, see the [API docs](../api/index.md).
-
-## Configuration file
-
-After initializing Fides, a default configuration file will be generated and placed within the `.fides` directory:
-
-```toml title="fides.toml"
-[database]
-server = "fides-db"
-user = "postgres"
-password = "fides"
-port = "5432"
-db = "fides"
-
-[logging]
-level = "INFO"
-
-[cli]
-server_host = "localhost"
-server_port = 8080
-analytics_id = ""
-
-[user]
-analytics_opt_out = false
-
-[redis]
-host = "redis"
-password = "testpassword"
-port = 6379
-charset = "utf8"
-default_ttl_seconds = 604800
-db_index = 0
-enabled = true
-ssl = false
-ssl_cert_reqs = "required"
-
-[security]
-app_encryption_key = ""
-cors_origins = [ "http://localhost", "http://localhost:8080", "http://localhost:3000", "http://localhost:3001",]
-encoding = "UTF-8"
-oauth_root_client_id = "adminid"
-oauth_root_client_secret = "adminsecret"
-drp_jwt_secret = "secret"
-root_username = "root_user"
-root_password = "Testpassword1!"
-
-[execution]
-masking_strict = true
-require_manual_request_approval = false
-task_retry_backoff = 1
-subject_identity_verification_required = false
-task_retry_count = 0
-task_retry_delay = 1
-
-[admin_ui]
-enabled = true
-
-[celery]
-event_queue_prefix = "fides_worker"
-task_default_queue = "fides"
-task_always_eager = true
-
-```
-
-## Configuration variable reference
-
-The `fides.toml` file should specify the following variables:
-
-#### Postgres database
-
-| Name | Type | Default | Description |
-| :---- | :---- | :------- | :----------- |
-| `user` | String | `postgres` | The database user with which to login to the application database. |
-| `password` | String | `fides` | The password with which to login to the application database. |
-| `server` | String | `fides-db` | The hostname of the Postgres database server. |
-| `port` | String | `5432` | The port at which the Postgres database will be accessible. |
-| `db` | String | `fides` | The name of the Postgres database. |
-| `test_db` | String | `""` | Used instead of the `db` config when the `FIDES__TEST_MODE` environment variable is set to `True`, to avoid overwriting production data. |
-
-#### Redis cache
-
-| Name | Type | Default | Description |
-| :--- | :--- | :--- | :--- |
-| `host` | string | N/A | The network address for the application Redis cache. |
-| `port` | int | `6379` | The port at which the application cache will be accessible. |
-| `user` | string | N/A | The user with which to login to the Redis cache. |
-| `password` | string | N/A | The password with which to login to the Redis cache. |
-| `db_index` | int | N/A | The application will use this index in the Redis cache to cache data. |
-| `connection_url` | string | N/A | A full connection URL to the Redis cache. If not specified, this URL is automatically assembled from the `host`, `port`, `password` and `db_index` specified above. |
-| `default_ttl_seconds` | int | 604800 | The number of seconds for which data will live in Redis before automatically expiring. |
-| `enabled` | bool | `True` | Whether the application's Redis cache should be enabled. Only set to false for certain narrow uses of the application. |
-
-#### Logging
-
-| Name | Type | Default | Description |
-| :---- | :---- | :------- | :----------- |
-| `destination` | String | `""` | The output location for log files. Accepts any valid file path. If left unset, log entries are printed to `stdout` and log files are not produced. |
-| `level` | Enum (String) | `INFO` | The minimum log entry level to produce. Also accepts `TRACE`, `DEBUG`, `WARNING`, `ERROR`, or `CRITICAL` (case insensitive). |
-| `serialization` | Enum (String) | `""` | The format with which to produce log entries. If left unset, produces log entries formatted using the internal custom formatter. Also accepts `"JSON"` (case insensitive). |
-
-#### CLI
-
-| Name | Type | Default | Description |
-| :---- | :---- | :------- | :----------- |
-| `local_mode` | Boolean | `False` | When set to `True`, forbids the Fides CLI from making calls to the Fides webserver. |
-| `server_host` | String | `localhost` | The hostname of the Fides webserver. |
-| `server_protocol` | String | `http` | The protocol used by the Fides webserver. |
-| `server_port` | Integer | | The optional port of the Fides webserver. |
-| `analytics_id` | String | `""` | A fully anonymized unique identifier that is automatically generated by the application and stored in the toml file. |
-
-#### Security
-
-| Name | Type | Default | Description |
-| :--- | :--- | :--- | :--- |
-| `app_encryption_key` | string | N/A | The key used to sign Fides API access tokens. |
-| `cors_origins` | List[AnyHttpUrl] | N/A | A list of pre-approved addresses of clients allowed to communicate with the Fides application server. |
-| `oauth_root_client_id` | string | N/A | The value used to identify the Fides application root API client. |
-| `oauth_root_client_secret` | string | N/A | The secret value used to authenticate the Fides application root API client. |
-| `oauth_access_token_expire_minutes` | int | `11520` | The time for which Fides API tokens will be valid. |
-| `root_username` | string | None | If set, this can be used in conjunction with `root_password` to log in without first creating a user in the database. |
-| `root_password` | string | None | If set, this can be used in conjunction with `root_username` to log in without first creating a user in the database. |
-| `root_user_scopes` | list of strings | All available scopes | The scopes granted to the root user when logging in with `root_username` and `root_password`. |
-| `subject_request_download_link_ttl_seconds` | int | `432000` | The number of seconds that a pre-signed download URL when using S3 storage will be valid. |
-| `request_rate_limit` | str | `100/minute` | The number of requests from a single IP address allowed to hit an endpoint within a rolling 60 second period. |
-| `rate_limit_prefix` | str | `fides-` | The prefix given to keys in the Redis cache used by the rate limiter. |
-| `identity_verification_attempt_limit` | int | `3` | The number of identity verification attempts to allow. |
-
-#### Execution
-
-| Name | Type | Default | Description |
-| :--- | :--- | :--- | :--- |
-|`privacy_request_delay_timeout` | int | `3600` | The amount of time to wait for actions which delay privacy requests (e.g., pre- and post-processing webhooks). |
-|`task_retry_count` | int | `0` | The number of times a failed request will be retried. |
-|`task_retry_delay` | int | `1` | The delays between retries in seconds. |
-|`task_retry_backoff` | int | `1` | The backoff factor for retries, to space out repeated retries. |
-|`subject_identity_verification_required` | bool | `False` | Whether privacy requests require user identity verification. |
-|`require_manual_request_approval` | bool | `False` | Whether privacy requests require explicit approval to execute. |
-|`masking_strict` | bool | `True` | If set to `True`, only use UPDATE requests to mask data. If `False`, Fides will use any defined DELETE or GDPR DELETE endpoints to remove PII, which may extend beyond the specific data categories that configured in your execution policy. |
-|`celery_config_path` | string | N/A | An optional override for the [Celery](#celery-configuration) configuration file path. |
-
-#### User
-
-| Name | Type | Default | Description |
-| :---- | :---- | :------- | :----------- |
-| `encryption_key` | String | `""` | An arbitrary string used to encrypt the user data stored in the database. Encryption is implemented using PGP. |
-| `analytics_opt_out` | Boolean | `""` | When set to `true`, prevents sending anonymous analytics data to Ethyca. |
-
-#### Credentials
-
-The credentials section uses custom keys which can be referenced in certain commands.
-
-| Name | Type | Description |
-| :---- | :---- | :----------- |
-| `my_postgres.connection_string` | String | Sets the `connection_string` for `my_postgres` database credentials |
-| `my_aws.aws_access_key_id` | String | Sets the `aws_access_key_id` for `my_aws` credentials |
-| `my_aws.aws_secret_access_key` | String | Sets the `aws_secret_access_key` for `my_aws` credentials |
-| `my_aws.region_name` | String | Sets the `region_name` for `my_aws` credentials |
-| `my_okta.orgUrl` | String | Sets the `orgUrl` for `my_okta` credentials |
-| `my_okta.token` | String | Sets the `token` for `my_okta` credentials |
-
-#### Celery
-
-The celery section is a place for user-defined key-value overrides that get passed directly to Celery and are not validated by `fides`.
-
-#### Admin UI
-
-| Name | Type | Default | Description |
-|---|---|---|---|
-| `enabled` | bool | `True` | Toggle whether the Admin UI is served from `/`. |
-
-#### Notifications
-
-| Name | Type   | Default | Description                                                                                                       |
-|:---- |:-------|:--------|:------------------------------------------------------------------------------------------------------------------|
-| `send_request_completion_notification` | bool   | `False` | When set to `True`, enables subject notifications upon privacy request completion.                                |
-| `send_request_receipt_notification` | bool   | `False` | When set to `True`, enables subject notifications upon privacy request receipt.                                   |
-| `send_request_review_notification` | bool   | `False` | When set to `True`, enables subject notifications upon privacy request review.                                    |
-| `notification_service_type` | String | N/A     | Sets the notification service type used to send notifications. Accepts `mailgun`, `twilio_sms`, or `twilio_email`.|
-
-## Set environment variables
-
-To configure environment variables for Fides, the following pattern is used:
-
-```sh
-FIDES__<SECTION>__<VAR_NAME>
-```
-
-For example, to set the `server_url` on a Linux machine:
-
-```sh
-export FIDES__CLI__SERVER_HOST="localhost"
-export FIDES__CLI__SERVER_PORT="8080"
-export FIDES__CLI__SERVER_PROTOCOL="http"
-```
-
-### Additional environment variables
-
-The following environment variables are not included in the default `fides.toml` configuration, but may be set in your environment:
-
- ENV Variable | Default | Description |
-|---|---|---|
-| `FIDES__LOG_PII` | `False` | If `True`, PII values will display unmasked in log output. This variable should always be set to "False" in production systems.
-| `FIDES__HOT_RELOAD` | `False` | If `True`, the Fides server will reload code changes without needing to restart the server. This variable should always be set to `False` in production systems.|
-| `FIDES__DEV_MODE` | `False` | If `True`, the Fides server will log error tracebacks, and log details of third party requests. This variable should always be set to `False` in production systems.|
-| `FIDES_CONFIG_PATH` | None | If this is set to a path, that path will be used to load `.toml` files first. Any .toml files on this path will override any installed .toml files. |
-
-## Celery configuration
-
-Fides uses [Celery](https://docs.celeryq.dev/en/stable/index.html) for asynchronous task management.
-
-The `celery.toml` file provided contains a brief configuration reference for managing Celery variables. By default, Fides will look for this file in the root directory of your application, but this location can be optionally overridden by specifying an alternate `celery_config_path` in your `fides.toml`.
-
-For a full list of possible variable overrides, see the [Celery configuration](https://docs.celeryq.dev/en/stable/userguide/configuration.html#new-lowercase-settings) documentation.
-
-```sh title="Example <code>celery.toml</code>"
-default_queue_name = "fides"
-broker_url = "redis://:testpassword@redis:6379/1"
-result_backend = "redis://:testpassword@redis:6379/1"
-```
-
- Celery Variable | Example | Description |
-|---|---|---|
-| `default_queue_name` | `fides` | A name to use for your Celery task queue. |
-| `broker_url` | `redis://:testpassword@redis:6379/1`  | The datastore to use as a [Celery broker](https://docs.celeryq.dev/en/stable/getting-started/backends-and-brokers/), which maintains an ordered list of asynchronous tasks to execute. If not specified, Fides will default to the `connection_url` or Redis config values specified in your `fides.toml`.
-| `result_backend` | `redis://:testpassword@redis:6379/1` | The [backend datastore](https://docs.celeryq.dev/en/stable/getting-started/backends-and-brokers/) where Celery will store results from asynchronously processed tasks. If not specified, Fides will default to the `connection_url` or Redis config values specified in your `fides.toml`.
diff --git a/docs/fides/docs/installation/docker.md b/docs/fides/docs/installation/docker.md
deleted file mode 100644
index bcff895830..0000000000
--- a/docs/fides/docs/installation/docker.md
+++ /dev/null
@@ -1,40 +0,0 @@
-# Installation from Docker
-
-The `fides` image is published on the [ethyca/fides DockerHub](https://hub.docker.com/r/ethyca/fides/tags) and maintained by the Fides team. To decide if a Docker installation is right for your use case, see the [installation overview](./overview.md).
-
-These reference images contain all of the extras and dependencies for running the Python application, but do not contain the required Postgres database.
-
-!!! Tip "To quickly experiment with Fides, clone the [source repository](https://github.com/ethyca/fides), and use the built-in docker compose configuration to run a complete demo environment."
-
-## System requirements
-Ensure that Docker is running on your host prior to starting. See the the [Prerequisites and Dependencies](requirements.md#docker-requirements) page for the minimum Docker requirements.
-
-## Pull the docker image
-Run the following command to pull the latest image from Ethyca's [DockerHub](https://hub.docker.com/r/ethyca/fides):
-
-```
-docker pull ethyca/fides
-``` 
-
-## Set up your database
-
-Configure your own Postgres database according to the configuration of your choice, ensuring it satisfies the project [requirements](./requirements.md). Enable a username and password, and keep track of your connection credentials.
-
-## Set up your cache
-Configure your own Redis cache according to the configuration of your choice, ensuring it satisfies the project [requirements](./requirements.md). Enable a password (via Redis [`AUTH`](https://redis.io/commands/auth)) to provide additional security, and keep track of your connection credentials.
-## Configure Fides
-
-Fides configuration variables are maintained in either a `fides.toml` file, or environment variables. These should be replaced with the connection credentials for your Postgres and Redis instances, as well as any other information unique to your deployment. 
-
-See the [Configuration guide](configuration.md) for a full list of settings, and a sample `fides.toml`.
-
-## Running the webserver
-Once configured, you can start your server:
-
-```
-docker run ethyca/fides
-```
-
-With the Fides webserver running, the hosted UI is available at `http://{server_url}/` (e.g. `http://localhost:8080/`). 
-
-
diff --git a/docs/fides/docs/installation/overview.md b/docs/fides/docs/installation/overview.md
deleted file mode 100644
index c4319e45ff..0000000000
--- a/docs/fides/docs/installation/overview.md
+++ /dev/null
@@ -1,64 +0,0 @@
-# Overview
-
-The Fides team provides up-to-date versions of both PyPI and Docker installations. For information on which method of installation might work best for your use, the requirements for each option is summarized below.
-
-## Installation options
-
-### PyPI
-
-Only `pip`/`pipx` installations are currently officially supported. For more information, see [Installation from PyPI](pypi.md).
-
-!!! Tip "For environment isolation, the Fides team recommends using [`pipx`](https://pypa.github.io/pipx/) when possible."
-
-#### When to use PyPI
-
-* If you are not familiar with Docker or containers, and want to install Fides on physical or virtual machines.
-* If you are used to installing and running software using custom deployment mechanism.
-* If you would like to use with a lightweight installation of Fides, and manage optional dependencies on your own.
-
-#### Intended users
-
-* Users who are familiar with installing and configuring Python applications, managing Python environments and dependencies, and running software with their custom deployment mechanisms.
-
-#### Requirements
-
-* You are expected to install Fides and any associated components on your own.
-* You will develop and handle the deployment for all components of Fides.
-* You are responsible for setting up the databases, configuring automated startup and recovery, and handling maintenance, cleanup, and upgrades.
-
-#### Additional support
-
-* The [Installation from PyPI](pypi.md) guide provides installation details. Due to differences in environments and tools, this guide cannot comprehensively cover all deployment and usage errors and concerns.
-
-### Docker
-
-The Fides Docker images are built by the Fides CI/CD pipeline, which generates versions on each official release, as well as commits made to the `main` branch. For this reason, it is highly discouraged to use the `latest` or `dev` tags and instead pin to a specific version of the application (i.e. `ethyca/fides:2.0.0`) for stability. For more information, see [Installation from Docker](docker.md).
-
-#### Tags
-
-The [Fides image repository](https://hub.docker.com/r/ethyca/fides/tags) contains three types of tags:
-
-* `<major>.<minor>.<patch` i.e. `2.0.0`: These semver style tags are pushed on official releases of the application.
-* `latest`: This tag will match the latest official release of the application
-* `dev`: This tag is built and pushed on every push to the `main` branch. Therefore it is the "bleeding edge" image and is not considered stable.
-
-#### When to use Docker
-
-* If you are looking for the quickest way to get started, with minimal additional configuration. Docker will run Fides components in isolation from other software running on the same physical or virtual machines, and provides straightforward dependency maintenance.
-* If you are familiar with the container/Docker stack.
-
-#### Intended users
-
-* Users who are familiar with containers and Docker, and understand how to build and extend their own images as needed.
-* Users who know how to create and maintain Docker deployments.
-
-#### Requirements
-
-* You may need to customize or extend the container or Docker images to add extra dependencies.
-* You will build deployments out of several containers (i.e., via Docker Compose).
-* You are responsible for setting up the databases, configuring automated startup and recovery, and handling maintenance, cleanup, and upgrades.
-* You should choose the right deployment mechanism (a custom process, Kubernetes, Docker Compose, Helm charts, etc.) based on your experience and expectations.
-
-### Troubleshooting
-
-* For questions regarding either installation, visit the [Community](../community/overview.md) page.
diff --git a/docs/fides/docs/installation/pypi.md b/docs/fides/docs/installation/pypi.md
deleted file mode 100644
index b94a2afeec..0000000000
--- a/docs/fides/docs/installation/pypi.md
+++ /dev/null
@@ -1,114 +0,0 @@
-# Installation from PyPI
-
-The Fides Python package is [published on PyPI](https://pypi.org/project/fides/) and maintained by the Fides team. To decide if a PyPI installation is right for your use case, see the [installation overview](./overview.md).
-
-## System requirements
-
-See the the [Prerequisites and Dependencies](../installation/requirements.md) page for more information.
-
-## Basic installation
-
-The Fides team recommends using [`pipx`](https://pypa.github.io/pipx/) over `pip` for environment isolation. The following documentation assumes `pipx` is installed, but `pip` commands can be substituted when needed.
-  
-To install Fides, run:
-
-```sh
-pipx install fides
-```
-
-### Verify your installation
-
-With Fides installed, verify the installation:
-
-```sh
-fides --version
-```
-
-A correct installation will print the current version of Fides to your console.
-
-### Install dangerous dependencies
-
-Fides is designed to ship with all possible dependencies, however there are some packages which may break on certain machines. To solve this, Fides supports optional requirements for potentially dangerous dependencies that aren't required to run the application, but may restrict certain functionality.
-
-To install optional dependencies, use the following syntax:
-
-```sh
-pipx install "fides[extra_1]"
-```
-
-For multiple dependencies:
-
-```sh
-pipx install "fides[extra_1, extra_2]"
-```
-
-The optional "dangerous" dependencies are as follows:
-
-* `mssql`: includes the MSSQL database connector.
-
-When installing database adapters, additional dependencies may be required (e.g. [pg_hba.conf](https://www.postgresql.org/docs/current/auth-pg-hba-conf.html) for Postgres, or the [Microsoft ODBC Driver](https://docs.microsoft.com/en-us/sql/connect/odbc/microsoft-odbc-driver-for-sql-server) for SQL Server).
-
-!!! Warning "Apple M1 users of MSSQL"
-     Known issues around connecting to MSSQL exist today, please reference the following issue for potential solutions: <https://github.com/mkleehammer/pyodbc/issues/846>
-
-## Initialize Fides
-
-Initializing the project will create a configuration file with default values, and generate a directory to house your Fides resources.
-
-```sh title="Initialize Fides"
-fides init
-```
-
-```txt title="Expected Output"
-Initializing Fides...
-----------
-Created a './.fides' directory.
-----------
-Created a fides config file: ./.fides/fides.toml
-To learn more about configuring fides, see:
-    https://ethyca.github.io/fides/installation/configuration/
-----------
-For example policies and help getting started, see:
-    https://ethyca.github.io/fides/guides/policies/
-----------
-Fides initialization complete.
-```
-
-### Run standalone mode
-
-Once Fides is installed and initialized, it is possible to run the project in "standalone mode," which requires zero dependencies outside of the pip installation. This does not provide webserver connectivity or database persistence, but allows you to experiment with CLI commands.
-
-Use one of the following methods to enable standalone mode:
-
-```sh title="CLI flag"
-fides --local <subcommand>
-```
-
-```toml title="fides.toml"
-[cli]
-local_mode = true
-```
-
-## Set up your database
-
-Configure your own Postgres database according to the configuration of your choice, ensuring it satisfies the project [requirements](./requirements.md). Enable a username and password, and keep track of your connection credentials.
-
-## Set up your cache
-
-Configure your own Redis cache according to the configuration of your choice, ensuring it satisfies the project [requirements](./requirements.md). Enable a password (via Redis [`AUTH`](https://redis.io/commands/auth)) to provide additional security, and keep track of your connection credentials.
-
-## Configure Fides
-
-Fides provides a `fides.toml` file to store your configuration settings. Initializing Fides creates this file and populates it with default values, which should be replaced with the connection credentials for your Postgres and Redis instances, as well as any other information unique to your deployment.
-
-See the [Configuration guide](../installation/configuration.md) for a full list of settings, and a sample `fides.toml`.
-
-## Running the webserver
-
-In a shell, run the following command:
-
-```sh
-fides webserver
-```
-
-With the Fides webserver running, the hosted UI is available at `http://{server_url}/` (e.g. `http://localhost:8080/`).
diff --git a/docs/fides/docs/installation/requirements.md b/docs/fides/docs/installation/requirements.md
deleted file mode 100644
index daf87d6cb1..0000000000
--- a/docs/fides/docs/installation/requirements.md
+++ /dev/null
@@ -1,23 +0,0 @@
-# Project Requirements
-
-## Minimum requirements
-
-Fides supports the following Python versions:
-
-* Python: 3.8+
-
-The following is supported as the application database:
-
-* PostgreSQL: 12
-
-The following is supported as the application cache:
-
-* Redis: 6.2.0+
-
-All of these must be installed, either locally or via Docker, before attempting to run Fides as an application. The CLI is capable of running with only the Python dependency.
-
-## Docker requirements
-
-If using Docker, the following minimum versions are required:
-
-* [Docker](https://www.docker.com/products/docker-desktop): 20.10.11+
diff --git a/docs/fides/docs/saas_connectors/example_configs/adobe.md b/docs/fides/docs/saas_connectors/example_configs/adobe.md
deleted file mode 100644
index 8e09181b27..0000000000
--- a/docs/fides/docs/saas_connectors/example_configs/adobe.md
+++ /dev/null
@@ -1,123 +0,0 @@
-
-# Adobe Campaign
-
-## Implementation Summary
-
-Fides uses the following Adobe Campaign endpoints to retrieve and delete Personally Identifiable Information (PII) when processing a Privacy Request. Right to Access and Right to Delete (Right to Forget) support for each endpoint is noted below.
-
-|Endpoint | Right to Access | Right to Delete |
-|----|----|----|
-|[Profile](https://experienceleague.adobe.com/docs/campaign-standard/using/working-with-apis/global-concepts/endpoints.html?lang=en) | Yes | Yes |
-|[History](https://experienceleague.adobe.com/docs/campaign-standard/using/working-with-apis/global-concepts/endpoints.html?lang=en) | Yes | Yes |
-|[Privacy Tool](https://experienceleague.adobe.com/docs/campaign-standard/using/working-with-apis/global-concepts/endpoints.html?lang=en) | Yes | Yes |
-
-## Connection Settings
-
-Fides provides a [Postman collection](../../development/postman/using_postman.md) for easily establishing connections to your third party applications. Additional connection instructions may be found in the [configuration guide](../saas_config.md).
-
-**Deletion requests** are fulfilled by masking PII via `UPDATE` endpoints. To [give Fides permission](../../installation/configuration.md#configuration-variable-reference) to remove PII using `DELETE` endpoints, ensure the `masking_strict` variable in your `fides.toml` file is set to `false`.
-
-## Example Adobe Configuration
-
-```yaml
-saas_config:
-  fides_key: adobe_campaign_connector_example
-  name: Adobe Campaign SaaS Config
-  type: adobe_campaign
-  description: A schema representing the Adobe Campaign connector for Fides
-  version: 0.0.1
-
-  connector_params:
-    - name: domain
-      default_value: mc.adobe.io
-    - name: organization_id
-    - name: namespace
-      default_value: defaultNamespace1
-      description: The namespace to use for data protections requests
-    - name: regulation
-      description: The regulation to follow for data protection requests
-    - name: client_id
-    - name: access_token
-
-  client_config:
-    protocol: https
-    host: <domain>/<organization_id>
-    authentication:
-      strategy: bearer
-      configuration:
-        token: <access_token>
-
-  test_request:
-    method: GET
-    path: /campaign/profileAndServices/profile/PKey
-    headers:
-      - name: X-Api-Key
-        value: <client_id>
-    query_params:
-      - name: _lineCount
-        value: 1
-    param_values:
-      - name: client_id
-        connector_param: client_id
-
-  endpoints:
-    - name: profile
-      requests:
-        read:
-          method: GET
-          path: /campaign/profileAndServices/profile/byEmail
-          headers:
-            - name: X-Api-Key
-              value: <client_id>
-          query_params:
-            - name: email
-              value: <email>
-          param_values:
-            - name: client_id
-              connector_param: client_id
-            - name: email
-              identity: email
-          data_path: content
-    - name: marketing_history
-      requests:
-        read:
-          method: GET
-          path: /campaign/profileAndServices/history/byEmail
-          headers:
-            - name: X-Api-Key
-              value: <client_id>
-          query_params:
-            - name: email
-              value: <email>
-          param_values:
-            - name: client_id
-              connector_param: client_id
-            - name: email
-              identity: email
-          data_path: content
-
-  data_protection_request:
-    method: POST
-    path: /campaign/privacy/privacyTool
-    headers:
-      - name: X-Api-Key
-        value: <client_id>
-    param_values:
-      - name: client_id
-        connector_param: client_id
-      - name: regulation
-        connector_param: regulation
-      - name: namespace
-        connector_param: namespace
-      - name: reconciliation_value
-        identity: email
-    body: |
-      {
-          "name": "<privacy_request_id>",
-          "namespaceName": "<namespace>",
-          "reconciliationValue": "<reconciliation_value>",
-          "regulation": "<regulation>",
-          "label": "Erasure Request",
-          "type": "delete"
-      }
-```
diff --git a/docs/fides/docs/saas_connectors/example_configs/hubspot.md b/docs/fides/docs/saas_connectors/example_configs/hubspot.md
deleted file mode 100644
index eff18e1033..0000000000
--- a/docs/fides/docs/saas_connectors/example_configs/hubspot.md
+++ /dev/null
@@ -1,194 +0,0 @@
-
-# Hubspot
-
-## Implementation Summary
-
-Fides uses the following Hubspot endpoints to retrieve and delete Personally Identifiable Information (PII) when processing a Privacy Request. Right to Access and Right to Delete (Right to Forget) support for each endpoint is noted below.
-
-|Endpoint | Right to Access | Right to Delete |
-|----|----|----|
-|[Search](https://developers.hubspot.com/docs/api/crm/search) | Yes | No |
-|[Contacts](https://developers.hubspot.com/docs/api/crm/contacts) | Yes | Yes |
-|[Owners](https://developers.hubspot.com/docs/api/crm/owners) | Yes | No |
-|[Communication Preferences](https://developers.hubspot.com/docs/api/marketing-api/subscriptions-preferences#endpoint?spec=POST-/communication-preferences/v3/unsubscribe) | Yes | Yes |
-|[Users](https://developers.hubspot.com/docs/api/settings/user-provisioning) | Yes | Yes |
-
-## Scopes
-
-The following Hubspot scopes are required for executing privacy requests:
-
-* crm.objects.contacts.read
-* crm.objects.contacts.write
-* crm.objects.owners.read
-* communication_preferences.read
-* communication_preferences.write
-* settings.user.read
-* settings.users.write
-
-## Connection Settings
-
-Fides provides a [Postman collection](../../development/postman/using_postman.md) for easily establishing connections to your third party applications. Additional connection instructions may be found in the [configuration guide](../saas_config.md).
-
-**Deletion requests** are fulfilled by masking PII via `UPDATE` endpoints. To [give Fides permission](../../installation/configuration.md#configuration-variable-reference) to remove PII using `DELETE` endpoints, ensure the `masking_strict` variable in your `fides.toml` file is set to `false`.
-
-## Example Hubspot Configuration
-
-```yaml
-saas_config:
-  fides_key: hubspot_connector_example
-  name: Hubspot SaaS Config
-  type: hubspot
-  description: A sample schema representing the Hubspot connector for Fides
-  version: 0.0.1
-
-  connector_params:
-    - name: domain
-      default_value: api.hubapi.com
-    - name: private_app_token
-
-  client_config:
-    protocol: https
-    host: <domain>
-    authentication:
-      strategy: bearer
-      configuration:
-        token: <private_app_token>
-
-  test_request:
-    method: GET
-    path: /companies/v2/companies/paged
-
-  endpoints:
-    - name: contacts
-      requests:
-        read:
-          path: /crm/v3/objects/contacts/search
-          method: POST
-          body: |
-            {
-              "filterGroups": [{
-                "filters": [{
-                  "value": "<email>",
-                  "propertyName": "email",
-                  "operator": "EQ"
-                }]
-              }]
-            }
-          query_params:
-            - name: limit
-              value: 100
-          param_values:
-            - name: email
-              identity: email
-          data_path: results
-          pagination:
-            strategy: link
-            configuration:
-              source: body
-              path: paging.next.link
-        update:
-          path: /crm/v3/objects/contacts/<contactId>
-          method: PATCH
-          body: |
-            {
-              <masked_object_fields>
-            }
-          param_values:
-            - name: contactId
-              references:
-                - dataset: hubspot_connector_example
-                  field: contacts.id
-                  direction: from
-    - name: owners
-      requests:
-        read:
-          path: /crm/v3/owners
-          method: GET
-          query_params:
-            - name: limit
-              value: 100
-          param_values:
-            - name: placeholder
-              identity: email
-          postprocessors:
-            - strategy: unwrap
-              configuration:
-                data_path: results
-            - strategy: filter
-              configuration:
-                field: email
-                value:
-                  identity: email
-          pagination:
-            strategy: link
-            configuration:
-              source: body
-              path: paging.next.link
-    - name: subscription_preferences
-      requests:
-        read:
-          path: /communication-preferences/v3/status/email/<email>
-          method: GET
-          param_values:
-            - name: email
-              identity: email
-        update:
-          path: /communication-preferences/v3/unsubscribe
-          method: POST
-          body: |
-            {
-              "emailAddress": "<email>",
-              "subscriptionId": "<subscriptionId>",
-              "legalBasis": "LEGITIMATE_INTEREST_CLIENT",
-              "legalBasisExplanation": "At users request, we opted them out"
-            }
-          data_path: subscriptionStatuses
-          param_values:
-            - name: email
-              identity: email
-            - name: subscriptionId
-              references:
-                - dataset: hubspot_connector_example
-                  field: subscription_preferences.id
-                  direction: from
-          postprocessors:
-            - strategy: filter
-              configuration:
-                field: status
-                value: SUBSCRIBED
-    - name: users
-      requests:
-        read:
-          path: /settings/v3/users/
-          method: GET
-          query_params:
-            - name: limit
-              value: 100
-          param_values:
-            - name: placeholder
-              identity: email
-          postprocessors:
-            - strategy: unwrap
-              configuration:
-                data_path: results
-            - strategy: filter
-              configuration:
-                field: email
-                value:
-                  identity: email
-          pagination:
-            strategy: link
-            configuration:
-              source: body
-              path: paging.next.link
-        delete:
-          path: /settings/v3/users/<userId>
-          method: DELETE
-          param_values:
-            - name: userId
-              references:
-                - dataset: hubspot_connector_example
-                  field: users.id
-                  direction: from
-
-```
diff --git a/docs/fides/docs/saas_connectors/example_configs/mailchimp.md b/docs/fides/docs/saas_connectors/example_configs/mailchimp.md
deleted file mode 100644
index 97f41a1576..0000000000
--- a/docs/fides/docs/saas_connectors/example_configs/mailchimp.md
+++ /dev/null
@@ -1,111 +0,0 @@
-# Mailchimp
-
-## Implementation Summary
-
-Fides uses the following Mailchimp endpoints to retrieve and delete Personally Identifiable Information (PII) when processing a Privacy Request. Right to Access and Right to Delete (Right to Forget) support for each endpoint is noted below.
-
-|Endpoint | Right to Access | Right to Delete |
-|----|----|----|
-|[Messages](https://mailchimp.com/developer/marketing/api/conversation-messages/list-messages/) | Yes | No |
-|[Conversations](https://mailchimp.com/developer/marketing/api/conversation-messages/) | Yes | No |
-|[Members](https://mailchimp.com/developer/marketing/api/list-members/get-member-info/) | Yes | Yes |
-
-## Connection Settings
-
-Fides provides a [Postman collection](../../development/postman/using_postman.md) for easily establishing connections to your third party applications. Additional connection instructions may be found in the [configuration guide](../saas_config.md).
-
-**Deletion requests** are fulfilled by masking PII via `UPDATE` endpoints. To [give Fides permission](../../installation/configuration.md#configuration-variable-reference) to remove PII using `DELETE` endpoints, ensure the `masking_strict` variable in your `fides.toml` file is set to `false`.
-
-## Example Mailchimp Configuration
-
-```yaml
-saas_config:
-  fides_key: mailchimp_connector_example
-  name: Mailchimp SaaS Config
-  description: A sample schema representing the Mailchimp connector for Fides
-  version: 0.0.1
-
-  connector_params:
-    - name: domain
-    - name: username
-    - name: api_key
-
-  client_config:
-    protocol: https
-    host: <domain>
-    authentication:
-      strategy: basic
-      configuration:
-        username: <username>
-        password: <api_key>
-
-  test_request:
-    method: GET
-    path: /3.0/lists
-
-  endpoints:
-  - name: messages
-    requests:
-      read:
-        method: GET
-        path: /3.0/conversations/<conversation_id>/messages
-        param_values:
-          - name: conversation_id
-            references:
-              - dataset: mailchimp_connector_example
-                field: conversations.id
-                direction: from
-        data_path: conversation_messages
-        postprocessors:
-          - strategy: filter
-            configuration:
-              field: from_email
-              value:
-                identity: email
-  - name: conversations
-    requests:
-      read:
-        method: GET
-        path: /3.0/conversations
-        query_params:
-          - name: count
-            value: 1000
-          - name: offset
-            value: 0
-        param_values:
-          - name: placeholder
-            identity: email
-        data_path: conversations
-        pagination:
-          strategy: offset
-          configuration:
-            incremental_param: offset
-            increment_by: 1000
-            limit: 10000
-  - name: member
-    requests:
-      read:
-        method: GET
-        path: /3.0/search-members
-        query_params:
-          - name: query
-            value: <email>
-        param_values:
-          - name: email
-            identity: email
-        data_path: exact_matches.members
-      update:
-        method: PUT
-        path: /3.0/lists/<list_id>/members/<subscriber_hash>
-        param_values:
-          - name: list_id
-            references:
-              - dataset: mailchimp_connector_example
-                field: member.list_id
-                direction: from
-          - name: subscriber_hash
-            references:
-              - dataset: mailchimp_connector_example
-                field: member.id
-                direction: from
-```
diff --git a/docs/fides/docs/saas_connectors/example_configs/outreach.md b/docs/fides/docs/saas_connectors/example_configs/outreach.md
deleted file mode 100644
index f2baef88e9..0000000000
--- a/docs/fides/docs/saas_connectors/example_configs/outreach.md
+++ /dev/null
@@ -1,179 +0,0 @@
-
-# Outreach
-
-## Implementation Summary
-
-Fides uses the following Outreach endpoints to retrieve and delete Personally Identifiable Information (PII) when processing a Privacy Request. Right to Access and Right to Delete (Right to Forget) support for each endpoint is noted below.
-
-|Endpoint | Right to Access | Right to Delete |
-|----|----|----|
-|[Prospects](https://api.outreach.io/api/v2/docs#manage-prospects-and-accounts) | Yes | Yes |
-|[Recipients](https://api.outreach.io/api/v2/docs#recipient) | Yes | Yes |
-
-## Connection Settings
-
-Fides provides a [Postman collection](../../development/postman/using_postman.md) for easily establishing connections to your third party applications. Additional connection instructions may be found in the [configuration guide](../saas_config.md).
-
-**Deletion requests** are fulfilled by masking PII via `UPDATE` endpoints. To [give Fides permission](../../installation/configuration.md#configuration-variable-reference) to remove PII using `DELETE` endpoints, ensure the `masking_strict` variable in your `fides.toml` file is set to `false`.
-
-## Example Outreach Configuration
-
-```yaml
-saas_config:
-  fides_key: outreach_connector_example
-  name: Outreach Example Config
-  type: outreach
-  description: A sample schema representing the Outreach connector for Fides
-  version: 0.0.1
-
-  connector_params:
-    - name: domain
-      default_value: platform.segmentapis.com
-    - name: requester_email
-      description: The email of the Outreach user to associate with each automated compliance request (data_protection_request)
-    - name: client_id
-    - name: client_secret
-    - name: redirect_uri
-    - name: page_size
-      description: The number of entries to return per page
-
-  client_config:
-    protocol: https
-    host: <domain>
-    authentication:
-      strategy: oauth2_authorization_code
-      configuration:
-        authorization_request:
-          method: GET
-          path: /auth/authorize
-          query_params:
-            - name: client_id
-              value: <client_id>
-            - name: redirect_uri
-              value: <redirect_uri>
-            - name: response_type
-              value: code
-            - name: scope
-              value: prospects.all recipients.all teams.all roles.all accounts.all audits.all callDispositions.all callPurposes.all calls.all complianceRequests.all contentCategories.all contentCategoryMemberships.all contentCategoryOwnerships.all duties.all emailAddresses.all events.all favorites.all mailAliases.all mailboxes.all mailings.all opportunities.all opportunityProspectRoles.all opportunityStages.all personas.all phoneNumbers.all profiles.all rulesets.all sequenceStates.all sequenceSteps.all sequenceTemplates.all sequences.all snippets.all stages.all taskPriorities.all tasks.all templates.all users.all webhooks.all
-            - name: state
-              value: <state>
-        token_request:
-          method: POST
-          path: /oauth/token
-          headers:
-            - name: Content-Type
-              value: application/x-www-form-urlencoded
-          query_params:
-            - name: client_id
-              value: <client_id>
-            - name: client_secret
-              value: <client_secret>
-            - name: grant_type
-              value: authorization_code
-            - name: code
-              value: <code>
-            - name: redirect_uri
-              value: <redirect_uri>
-        refresh_request:
-          method: POST
-          path: /oauth/token
-          headers:
-            - name: Content-Type
-              value: application/x-www-form-urlencoded
-          query_params:
-            - name: client_id
-              value: <client_id>
-            - name: client_secret
-              value: <client_secret>
-            - name: redirect_uri
-              value: <redirect_uri>
-            - name: grant_type
-              value: refresh_token
-            - name: refresh_token
-              value: <refresh_token>
-
-  test_request:
-    method: GET
-    path: /api/v2/roles
-
-  endpoints:
-    - name: prospects
-      requests:
-        read:
-          method: GET
-          path: /api/v2/prospects
-          query_params:
-            - name: filter[emails]
-              value: <email>
-          param_values:
-            - name: email
-              identity: email
-          data_path: data
-        delete:
-          method: POST
-          path: /api/v2/complianceRequests
-          param_values:
-            - name: requester_email
-              connector_param: requester_email
-            - name: email
-              identity: email
-          body: |
-            {
-              "data": {
-                "type": "complianceRequest",
-                "attributes": {
-                  "requester_email": "<requester_email>",
-                  "request_type": "Delete",
-                  "object_type": "Prospect",
-                  "request_object_email": "<email>"
-                }
-              }
-            }
-    - name: recipients
-      requests:
-        read:
-          method: GET
-          path: /api/v2/recipients
-          query_params:
-            - name: page[size]
-              value: <page_size>
-          param_values:
-            - name: page_size
-              connector_param: page_size
-            - name: placeholder
-              identity: email
-          data_path: data
-          pagination:
-            strategy: link
-            configuration:
-              source: body
-              path: links.next
-          postprocessors:
-            - strategy: filter
-              configuration:
-                field: attributes.value
-                value:
-                  identity: email
-                exact: False
-                case_sensitive: False
-        delete:
-          method: POST
-          path: /api/v2/complianceRequests
-          param_values:
-            - name: requester_email
-              connector_param: requester_email
-            - name: email
-              identity: email
-          body: |
-            {
-              "data": {
-                "type": "complianceRequest",
-                "attributes": {
-                  "requester_email": "<requester_email>",
-                  "request_type": "Delete",
-                  "object_type": "Recipient",
-                  "request_object_email": "<email>"
-                }
-              }
-            }
-```
diff --git a/docs/fides/docs/saas_connectors/example_configs/salesforce.md b/docs/fides/docs/saas_connectors/example_configs/salesforce.md
deleted file mode 100644
index 6902cbfa01..0000000000
--- a/docs/fides/docs/saas_connectors/example_configs/salesforce.md
+++ /dev/null
@@ -1,226 +0,0 @@
-
-# Salesforce
-
-## Implementation Summary
-
-Fides uses the following Salesforce endpoints to retrieve and delete Personally Identifiable Information (PII) when processing a Privacy Request. Right to Access and Right to Delete (Right to Forget) support for each endpoint is noted below.
-
-For more information, see the [Salesforce sObject API reference](https://developer.salesforce.com/docs/atlas.en-us.api_rest.meta/api_rest/resources_sobject_basic_info_post.htm).
-
-|Endpoint | Right to Access | Right to Delete |
-|----|----|----|
-|[Query](https://developer.salesforce.com/docs/atlas.en-us.238.0.api_rest.meta/api_rest/resources_query.htm) | Yes | No |
-|[Contact](https://developer.salesforce.com/docs/atlas.en-us.238.0.object_reference.meta/object_reference/sforce_api_objects_contact.htm) | Yes | Yes |
-|[Case](https://developer.salesforce.com/docs/atlas.en-us.238.0.object_reference.meta/object_reference/sforce_api_objects_case.htm) | Yes | Yes |
-|[Lead](https://developer.salesforce.com/docs/atlas.en-us.238.0.object_reference.meta/object_reference/sforce_api_objects_lead.htm) | Yes | Yes |
-|[Account](https://developer.salesforce.com/docs/atlas.en-us.238.0.object_reference.meta/object_reference/sforce_api_objects_account.htm) | Yes | Yes |
-|[CampaignMember](https://developer.salesforce.com/docs/atlas.en-us.238.0.object_reference.meta/object_reference/sforce_api_objects_campaignmember.htm) | Yes | Yes |
-
-## Connection Settings
-
-Fidesops provides a [Postman collection](../../development/postman/using_postman.md) for easily establishing connections to your third party applications. Additional connection instructions may be found in the [configuration guide](../saas_config.md).
-
-**Deletion requests** are fulfilled by masking PII via `UPDATE` endpoints. To [give fidesops permission](../../installation/configuration.md#configuration-variable-reference) to remove PII using `DELETE` endpoints, ensure the `masking_strict` variable in your `fidesops.toml` file is set to `false`.
-
-## Example Salesforce Configuration
-
-```yaml
-saas_config:
-  fides_key: salesforce_connector_example
-  name: Salesforce SaaS Config
-  type: salesforce
-  description: A sample schema representing the Salesforce connector for Fidesops
-  version: 0.0.1
-
-  connector_params:
-    - name: domain
-    - name: username
-    - name: password
-    - name: client_id
-    - name: client_secret
-    - name: access_token
-
-  client_config:
-    protocol: https
-    host: <domain>
-    authentication:
-      strategy: bearer
-      configuration:
-        token: <access_token>
-
-  test_request:
-    method: GET
-    path: /services/data/v54.0/sobjects
-
-  endpoints:
-    - name: contact_list
-      requests:
-        read:
-          method: GET
-          path: /services/data/v54.0/query
-          query_params:
-            - name: q
-              value: SELECT Id FROM Contact WHERE Email='<email>'
-          param_values:
-            - name: email
-              identity: email
-          data_path: records
-    - name: contacts
-      requests:
-        read:
-          method: GET
-          path: /services/data/v54.0/sobjects/Contact/<contact_id>
-          param_values:
-            - name: contact_id
-              references:
-                - dataset: salesforce_connector_example
-                  field: contact_list.Id
-                  direction: from
-        update:
-          method: PATCH
-          path: /services/data/v54.0/sobjects/Contact/<contact_id>
-          body: |
-            {
-              <masked_object_fields>
-            }
-          param_values:
-            - name: contact_id
-              references:
-                - dataset: salesforce_connector_example
-                  field: contacts.Id
-                  direction: from
-    - name: case_list
-      requests:
-        read:
-          method: GET
-          path: /services/data/v54.0/query
-          query_params:
-            - name: q
-              value: SELECT Id FROM Case WHERE ContactId='<contact_id>'
-          param_values:
-            - name: contact_id
-              references:
-                - dataset: salesforce_connector_example
-                  field: contact_list.Id
-                  direction: from
-          data_path: records
-    - name: cases
-      requests:
-        read:
-          method: GET
-          path: /services/data/v54.0/sobjects/Case/<case_id>
-          param_values:
-            - name: case_id
-              references:
-                - dataset: salesforce_connector_example
-                  field: case_list.Id
-                  direction: from
-        update:
-          method: PATCH
-          path: /services/data/v54.0/sobjects/Case/<case_id>
-          body: |
-            {
-              <masked_object_fields>
-            }
-          param_values:
-            - name: case_id
-              references:
-                - dataset: salesforce_connector_example
-                  field: cases.Id
-                  direction: from
-    - name: lead_list
-      requests:
-        read:
-          method: GET
-          path: /services/data/v54.0/query
-          query_params:
-            - name: q
-              value: SELECT Id FROM Lead WHERE Email='<email>'
-          param_values:
-            - name: email
-              identity: email
-          data_path: records
-    - name: leads
-      requests:
-        read:
-          method: GET
-          path: /services/data/v54.0/sobjects/Lead/<lead_id>
-          param_values:
-            - name: lead_id
-              references:
-                - dataset: salesforce_connector_example
-                  field: lead_list.Id
-                  direction: from
-        update:
-          method: PATCH
-          path: /services/data/v54.0/sobjects/Lead/<lead_id>
-          body: |
-            {
-              <masked_object_fields>
-            }
-          param_values:
-            - name: lead_id
-              references:
-                - dataset: salesforce_connector_example
-                  field: leads.Id
-                  direction: from
-    - name: accounts
-      requests:
-        read:
-          method: GET
-          path: /services/data/v54.0/sobjects/Account/<account_id>
-          param_values:
-            - name: account_id
-              references:
-                - dataset: salesforce_connector_example
-                  field: contacts.AccountId
-        update:
-          method: PATCH
-          path: /services/data/v54.0/sobjects/Account/<account_id>
-          body: |
-            {
-              <masked_object_fields>
-            }
-          param_values:
-            - name: account_id
-              references:
-                - dataset: salesforce_connector_example
-                  field: accounts.Id
-                  direction: from
-    - name: campaign_member_list
-      requests:
-        read:
-          method: GET
-          path: /services/data/v54.0/query
-          query_params:
-            - name: q
-              value: SELECT Id FROM CampaignMember WHERE Email='<email>'
-          param_values:
-            - name: email
-              identity: email
-          data_path: records
-    - name: campaign_members
-      requests:
-        read:
-          method: GET
-          path: /services/data/v54.0/sobjects/CampaignMember/<campaign_member_id>
-          param_values:
-            - name: campaign_member_id
-              references:
-                - dataset: salesforce_connector_example
-                  field: campaign_member_list.Id
-                  direction: from
-        update:
-          method: PATCH
-          path: /services/data/v54.0/sobjects/CampaignMember/<campaign_member_id>
-          body: |
-            {
-              <masked_object_fields>
-            }
-          param_values:
-            - name: campaign_member_id
-              references:
-                - dataset: salesforce_connector_example
-                  field: campaign_members.Id
-                  direction: from
-```
diff --git a/docs/fides/docs/saas_connectors/example_configs/segment.md b/docs/fides/docs/saas_connectors/example_configs/segment.md
deleted file mode 100644
index e2ca0a43ae..0000000000
--- a/docs/fides/docs/saas_connectors/example_configs/segment.md
+++ /dev/null
@@ -1,180 +0,0 @@
-
-# Segment
-
-## Implementation Summary
-Fides uses the following Segment endpoints to retrieve and delete Personally Identifiable Information (PII) when processing a Privacy Request. Right to Access and Right to Delete (Right to Forget) support for each endpoint is noted below.
-
-|Endpoint | Right to Access | Right to Delete |
-|----|----|----|
-|[Users](https://segment.com/docs/personas/profile-api/#api-reference) | Yes | No |
-|[Events](https://segment.com/docs/personas/profile-api/#api-reference) | Yes | No |
-|[Traits](https://segment.com/docs/personas/profile-api/#api-reference) | Yes | No |
-|[External IDs](https://segment.com/docs/personas/profile-api/#api-reference) | Yes | No |
-|[Regulations](https://segment.com/docs/privacy/user-deletion-and-suppression/#overview) | Yes | Yes |
-
-## Connection Settings
-Fides provides a [Postman collection](../../development/postman/using_postman.md) for easily establishing connections to your third party applications. Additional connection instructions may be found in the [configuration guide](../saas_config.md).
-
-**Deletion requests** are fulfilled by masking PII via `UPDATE` endpoints. To [give Fides permission](../../installation/configuration.md#configuration-variable-reference) to remove PII using `DELETE` endpoints, ensure the `masking_strict` variable in your `fides.toml` file is set to `false`. 
-
-## Example Segment Configuration
-```yaml
-saas_config:
-  fides_key: segment_connector_example
-  name: Segment SaaS Config
-  description: A sample schema representing the Segment connector for Fides
-  version: 0.0.1
-
-  connector_params:
-    - name: domain
-    - name: personas_domain
-    - name: workspace
-    - name: access_token
-    - name: namespace_id
-    - name: access_secret
-
-
-  client_config:
-    protocol: https
-    host:
-      connector_param: domain
-    authentication:
-      strategy: bearer_authentication
-      configuration:
-        token:
-          connector_param: access_token
-
-  test_request:
-    method: GET
-    path: /v1beta/workspaces/
-
-  endpoints:
-  - name: segment_user
-    requests:
-      read:
-        method: GET
-        path: /v1/spaces/<namespace_id>/collections/users/profiles/user_id:<user_id>/metadata
-        param_values:
-          - name: namespace_id
-            connector_param: namespace_id
-          - name: user_id
-            identity: email
-        client_config:
-          protocol: https
-          host:
-            connector_param: personas_domain
-          authentication:
-            strategy: basic_authentication
-            configuration:
-              username:
-                connector_param: access_secret
-  - name: track_events
-    requests:
-      read:
-        method: GET
-        path: /v1/spaces/<namespace_id>/collections/users/profiles/<segment_id>/events
-        param_values:
-          - name: namespace_id
-            connector_param: namespace_id
-          - name: segment_id
-            references:
-              - dataset: segment_connector_example
-                field: segment_user.segment_id
-                direction: from
-        data_path: data
-        pagination:
-          strategy: link
-          configuration:
-            source: body
-            path: cursor.url
-        client_config:
-          protocol: https
-          host:
-            connector_param: personas_domain
-          authentication:
-            strategy: basic_authentication
-            configuration:
-              username:
-                connector_param: access_secret
-  - name: traits
-    requests:
-      read:
-        method: GET
-        path: /v1/spaces/<namespace_id>/collections/users/profiles/<segment_id>/traits
-        query_params:
-          - name: limit
-            value: 17
-        param_values:
-          - name: namespace_id
-            connector_param: namespace_id
-          - name: segment_id
-            references:
-              - dataset: segment_connector_example
-                field: segment_user.segment_id
-                direction: from
-        data_path: traits
-        pagination:
-          strategy: link
-          configuration:
-            source: body
-            path: cursor.url
-        client_config:
-          protocol: https
-          host:
-            connector_param: personas_domain
-          authentication:
-            strategy: basic_authentication
-            configuration:
-              username:
-                connector_param: access_secret
-  - name: external_ids
-    requests:
-      read:
-        method: GET
-        path: /v1/spaces/<namespace_id>/collections/users/profiles/<segment_id>/external_ids
-        param_values:
-          - name: namespace_id
-            connector_param: namespace_id
-          - name: segment_id
-            references:
-              - dataset: segment_connector_example
-                field: segment_user.segment_id
-                direction: from
-        data_path: data
-        pagination:
-          strategy: link
-          configuration:
-            source: body
-            path: cursor.url
-        client_config:
-          protocol: https
-          host:
-            connector_param: personas_domain
-          authentication:
-            strategy: basic_authentication
-            configuration:
-              username:
-                connector_param: access_secret
-
-  data_protection_request:
-    method: POST
-    path: /v1beta/workspaces/<workspace_name>/regulations
-    headers:
-      - name: Content-Type
-        value: application/json
-    param_values:
-      - name: workspace_name
-        connector_param: workspace
-      - name: user_id
-        identity: email
-    body: '{"regulation_type": "Suppress_With_Delete", "attributes": {"name": "userId", "values": ["<user_id>"]}}'
-    client_config:
-      protocol: https
-      host:
-        connector_param: domain
-      authentication:
-        strategy: bearer_authentication
-        configuration:
-          token:
-            connector_param: access_token
-```
diff --git a/docs/fides/docs/saas_connectors/example_configs/sendgrid.md b/docs/fides/docs/saas_connectors/example_configs/sendgrid.md
deleted file mode 100644
index 51d13df29c..0000000000
--- a/docs/fides/docs/saas_connectors/example_configs/sendgrid.md
+++ /dev/null
@@ -1,67 +0,0 @@
-
-# Sendgrid
-
-## Implementation Summary
-
-Fides uses the following Sendgrid endpoints to retrieve and delete Personally Identifiable Information (PII) when processing a Privacy Request. Right to Access and Right to Delete (Right to Forget) support for each endpoint is noted below.
-
-|Endpoint | Right to Access | Right to Delete |
-|----|----|----|
-|[Contacts](https://docs.sendgrid.com/api-reference/contacts/search-contacts) | Yes | Yes |
-
-## Connection Settings
-
-Fides provides a [Postman collection](../../development/postman/using_postman.md) for easily establishing connections to your third party applications. Additional connection instructions may be found in the [configuration guide](../saas_config.md).
-
-**Deletion requests** are fulfilled by masking PII via `UPDATE` endpoints. To [give Fides permission](../../installation/configuration.md#configuration-variable-reference) to remove PII using `DELETE` endpoints, ensure the `masking_strict` variable in your `fides.toml` file is set to `fALSE`.
-
-## Example Sendgrid Configuration
-
-```yaml
-saas_config:
-  fides_key: sendgrid_connector_example
-  name: Sendgrid SaaS Config
-  type: sendgrid
-  description: A sample schema representing the Sendgrid connector for Fides
-  version: 0.0.1
-
-  connector_params:
-    - name: domain
-    - name: api_key
-
-  client_config:
-    protocol: https
-    host: <domain>
-    authentication:
-      strategy: bearer
-      configuration:
-        token: <api_key>
-
-  test_request:
-    method: GET
-    path: /v3/marketing/contacts
-
-  endpoints:
-    - name: contacts
-      requests:
-        read:
-          method: POST
-          path: /v3/marketing/contacts/search
-          body: |
-            {
-              "query": "email = '<email>'"
-            }
-          param_values:
-            - name: email
-              identity: email
-          data_path: result
-        delete:
-          method: DELETE
-          path: /v3/marketing/contacts?ids=<contact_id>
-          param_values:
-            - name: contact_id
-              references:
-                - dataset: sendgrid_connector_example
-                  field: contacts.id
-                  direction: from
-```
diff --git a/docs/fides/docs/saas_connectors/example_configs/sentry.md b/docs/fides/docs/saas_connectors/example_configs/sentry.md
deleted file mode 100644
index 920b5f6fbd..0000000000
--- a/docs/fides/docs/saas_connectors/example_configs/sentry.md
+++ /dev/null
@@ -1,189 +0,0 @@
-# Sentry
-
-## Implementation Summary
-
-Fides uses the following Sentry endpoints to retrieve and delete Personally Identifiable Information (PII) when processing a Privacy Request. Right to Access and Right to Delete (Right to Forget) support for each endpoint is noted below.
-
-|Endpoint | Right to Access | Right to Delete |
-|----|----|----|
-|[Organizations](https://docs.sentry.io/api/organizations/list-your-organizations/) | Yes | No |
-|[Users](https://docs.sentry.io/api/organizations/list-an-organizations-users/) | Yes | No |
-|[Projects](https://docs.sentry.io/api/organizations/list-an-organizations-projects/) | Yes | Yes |
-|[Issues](https://docs.sentry.io/api/events/list-a-projects-issues/) | Yes | No |
-|[User Feedback](https://docs.sentry.io/api/projects/list-a-projects-user-feedback/) | Yes | No |
-
-## Connection Settings
-
-Fides provides a [Postman collection](../../development/postman/using_postman.md) for easily establishing connections to your third party applications. Additional connection instructions may be found in the [configuration guide](../saas_config.md).
-
-**Deletion requests** are fulfilled by masking PII via `UPDATE` endpoints. To [give Fides permission](../../installation/configuration.md#configuration-variable-reference) to remove PII using `DELETE` endpoints, ensure the `masking_strict` variable in your `fides.toml` file is set to `false`.
-
-## Example Sentry Configuration
-
-```yaml
-saas_config:
-  fides_key: sentry_connector
-  name: Sentry SaaS Config
-  description: A sample schema representing the Sentry connector for Fides
-  version: 0.0.1
-
-  connector_params:
-    - name: host
-    - name: access_token
-
-  client_config:
-    protocol: https
-    host:
-      connector_param: host
-    authentication:
-      strategy: bearer_authentication
-      configuration:
-        token:
-          connector_param: access_token
-
-  test_request:
-    method: GET
-    path: /api/0/organizations/
-
-  endpoints:
-    - name: organizations
-      requests:
-        read:
-          method: GET
-          path: /api/0/organizations/
-          param_values:
-            - name: placeholder
-              identity: email
-          pagination:
-            strategy: link
-            configuration:
-              source: headers
-              rel: next
-    - name: employees
-      requests:
-        read:
-          method: GET
-          path: /api/0/organizations/<organization_slug>/users/
-          param_values:
-            - name: organization_slug
-              references:
-                - dataset: sentry_connector
-                  field: organizations.slug
-                  direction: from
-          postprocessors:
-            - strategy: filter
-              configuration:
-                field: email
-                value:
-                  identity: email
-    - name: projects
-      requests:
-        read:
-          method: GET
-          path: /api/0/projects/
-          param_values:
-            - name: placeholder
-              identity: email
-          pagination:
-            strategy: link
-            configuration:
-              source: headers
-              rel: next
-    - name: issues
-      requests:
-        update:
-          method: PUT
-          path: /api/0/issues/<issue_id>/
-          headers:
-            - name: Content-Type
-              value: application/json
-          param_values:
-            - name: issue_id
-              references:
-                - dataset: sentry_connector
-                  field: issues.id
-                  direction: from
-          body: '{"assignedTo": ""}'
-        read:
-          method: GET
-          path: /api/0/projects/<organization_slug>/<project_slug>/issues/
-          grouped_inputs: [organization_slug, project_slug, query]
-          query_params:
-            - name: query
-              value: assigned:<query>
-          param_values:
-            - name: organization_slug
-              references:
-                - dataset: sentry_connector
-                  field: projects.organization.slug
-                  direction: from
-            - name: project_slug
-              references:
-                - dataset: sentry_connector
-                  field: projects.slug
-                  direction: from
-            - name: query
-              identity: email
-          pagination:
-            strategy: link
-            configuration:
-              source: headers
-              rel: next
-    - name: user_feedback
-      requests:
-        read:
-          method: GET
-          path: /api/0/projects/<organization_slug>/<project_slug>/user-feedback/
-          grouped_inputs: [organization_slug, project_slug]
-          param_values:
-            - name: organization_slug
-              references:
-                - dataset: sentry_connector
-                  field: projects.organization.slug
-                  direction: from
-            - name: project_slug
-              references:
-                - dataset: sentry_connector
-                  field: projects.slug
-                  direction: from
-          postprocessors:
-            - strategy: filter
-              configuration:
-                field: email
-                value:
-                  identity: email
-          pagination:
-            strategy: link
-            configuration:
-              source: headers
-              rel: next
-    - name: person
-      after: [sentry_connector.projects]
-      requests:
-        read:
-          method: GET
-          ignore_errors: true
-          path: /api/0/projects/<organization_slug>/<project_slug>/users/
-          grouped_inputs: [organization_slug, project_slug, query]
-          query_params:
-            - name: query
-              value: email:<query>
-          param_values:
-            - name: organization_slug
-              references:
-                - dataset: sentry_connector
-                  field: projects.organization.slug
-                  direction: from
-            - name: project_slug
-              references:
-                - dataset: sentry_connector
-                  field: projects.slug
-                  direction: from
-            - name: query
-              identity: email
-          pagination:
-            strategy: link
-            configuration:
-              source: headers
-              rel: next
-```
diff --git a/docs/fides/docs/saas_connectors/example_configs/stripe.md b/docs/fides/docs/saas_connectors/example_configs/stripe.md
deleted file mode 100644
index ace7d996fe..0000000000
--- a/docs/fides/docs/saas_connectors/example_configs/stripe.md
+++ /dev/null
@@ -1,470 +0,0 @@
-
-# Stripe
-
-## Implementation Summary
-
-Fides uses the following Stripe endpoints to retrieve and delete Personally Identifiable Information (PII) when processing a Privacy Request. Right to Access and Right to Delete (Right to Forget) support for each endpoint is noted below.
-
-|Endpoint | Right to Access | Right to Delete |
-|----|----|----|
-|[Customers](https://stripe.com/docs/api/customers/update) | Yes | Yes |
-|[Charges](https://stripe.com/docs/api/charges/list) | Yes | No |
-|[Disputes](https://stripe.com/docs/api/disputes/list) | Yes | No |
-|[Payment Intents](https://stripe.com/docs/api/payment_intents/list) | Yes | Yes |
-|[Payment Methods](https://stripe.com/docs/api/payment_methods/list) | Yes | No |
-|[Bank Accounts](https://stripe.com/docs/api/customer_bank_accounts/list) | Yes | Yes |
-|[Cards](https://stripe.com/docs/api/cards/list) | Yes | Yes |
-|[Credit Notes](https://stripe.com/docs/api/credit_notes/list) | Yes | No |
-|[Customer Balance Transactions](https://stripe.com/docs/api/customer_balance_transactions/list) | Yes | No |
-|[Tax IDs](https://stripe.com/docs/api/customer_tax_ids/list) | Yes | Yes |
-|[Invoices](https://stripe.com/docs/api/invoices/list) | Yes | Yes |
-|[Invoice Items](https://stripe.com/docs/api/invoiceitems/list) | Yes | Yes |
-|[Subscriptions](https://stripe.com/docs/api/subscriptions/list) | Yes | Yes |
-
-## Connection Settings
-
-Fides provides a [Postman collection](../../development/postman/using_postman.md) for easily establishing connections to your third party applications. Additional connection instructions may be found in the [configuration guide](../saas_config.md).
-
-**Deletion requests** are fulfilled by masking PII via `UPDATE` endpoints. To [give Fides permission](../../installation/configuration.md#configuration-variable-reference) to remove PII using `DELETE` endpoints, ensure the `masking_strict` variable in your `fides.toml` file is set to `false`.
-
-## Example Stripe Configuration
-
-```yaml
-saas_config:
-  fides_key: stripe_connector_example
-  name: Stripe SaaS Config
-  description: A sample schema representing the Stripe connector for Fides
-  version: 0.0.1
-
-  connector_params:
-    - name: host
-    - name: api_key
-    - name: payment_types
-    - name: items_per_page
-
-  client_config:
-    protocol: https
-    host:
-      connector_param: host
-    authentication:
-      strategy: bearer_authentication
-      configuration:
-        token:
-          connector_param: api_key
-
-  test_request:
-    method: GET
-    path: /v1/customers
-    
-  endpoints:
-  - name: customer
-    requests:
-      read:
-        method: GET
-        path: /v1/customers
-        query_params:
-          - name: email
-            value: <email>
-        param_values:
-          - name: email
-            identity: email
-        data_path: data
-      update:
-        method: POST
-        path: /v1/customers/<customer_id>
-        headers:
-          - name: Content-Type
-            value: application/x-www-form-urlencoded
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: customer.id
-                direction: from
-        body: '{<all_object_fields>}'
-  - name: charge
-    requests:
-      read: 
-        method: GET
-        path: /v1/charges
-        query_params:
-          - name: customer
-            value: <customer_id>
-          - name: limit
-            value: <limit>
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: customer.id
-                direction: from
-          - name: limit
-            connector_param: items_per_page
-        data_path: data
-        pagination:
-          strategy: cursor
-          configuration:
-            cursor_param: starting_after
-            field: id
-  - name: dispute
-    requests:
-      read:
-        method: GET
-        path: /v1/disputes
-        query_params:
-          - name: charge
-            value: <charge_id>
-          - name: payment_intent
-            value: <payment_intent_id>
-          - name: limit
-            value: <limit>
-        param_values:
-          - name: charge_id
-            references:
-              - dataset: stripe_connector_example
-                field: charge.id
-                direction: from
-          - name: payment_intent_id
-            references:
-              - dataset: stripe_connector_example
-                field: payment_intent.id
-                direction: from
-          - name: limit
-            connector_param: items_per_page
-        data_path: data
-        pagination:
-          strategy: cursor
-          configuration:
-            cursor_param: starting_after
-            field: id
-  - name: payment_intent
-    requests:
-      read:
-        method: GET
-        path: /v1/payment_intents
-        query_params:
-          - name: customer
-            value: <customer_id>
-          - name: limit
-            value: <limit>
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: customer.id
-                direction: from
-          - name: limit
-            connector_param: items_per_page
-        data_path: data
-        pagination:
-          strategy: cursor
-          configuration:
-            cursor_param: starting_after
-            field: id
-  - name: payment_method
-    requests:
-      read:
-        method: GET
-        path: /v1/customers/<customer_id>/payment_methods
-        query_params:
-          - name: type
-            value: <type>
-          - name: limit
-            value: <limit>
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: customer.id
-                direction: from
-          - name: type
-            connector_param: payment_types
-          - name: limit
-            connector_param: items_per_page
-        data_path: data
-        pagination:
-          strategy: cursor
-          configuration:
-            cursor_param: starting_after
-            field: id
-      update:
-        method: POST
-        path: /v1/payment_methods/<payment_method_id>
-        headers:
-          - name: Content-Type
-            value: application/x-www-form-urlencoded
-        param_values:
-          - name: payment_method_id
-            references:
-              - dataset: stripe_connector_example
-                field: payment_method.id
-                direction: from
-        body: '{<masked_object_fields>}'
-  - name: bank_account
-    requests:
-      read:
-        method: GET
-        path: /v1/customers/<customer_id>/sources
-        query_params:
-          - name: object
-            value: bank_account
-          - name: limit
-            value: <limit>
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: customer.id
-                direction: from
-          - name: limit
-            connector_param: items_per_page
-        data_path: data
-        pagination:
-          strategy: cursor
-          configuration:
-            cursor_param: starting_after
-            field: id
-      update:
-        method: POST
-        path: /v1/customers/<customer_id>/sources/<bank_account_id>
-        headers:
-          - name: Content-Type
-            value: application/x-www-form-urlencoded
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: bank_account.customer
-                direction: from
-          - name: bank_account_id
-            references:
-              - dataset: stripe_connector_example
-                field: bank_account.id
-                direction: from
-        body: '{<masked_object_fields>}'
-  - name: card
-    requests:
-      read:
-        method: GET
-        path: /v1/customers/<customer_id>/sources
-        query_params:
-          - name: object
-            value: card
-          - name: limit
-            value: <limit>
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: customer.id
-                direction: from
-          - name: limit
-            connector_param: items_per_page
-        data_path: data
-        pagination:
-          strategy: cursor
-          configuration:
-            cursor_param: starting_after
-            field: id
-      update:
-        method: POST
-        path: /v1/customers/<customer_id>/sources/<card_id>
-        headers:
-          - name: Content-Type
-            value: application/x-www-form-urlencoded
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: card.customer
-                direction: from
-          - name: card_id
-            references:
-              - dataset: stripe_connector_example
-                field: card.id
-                direction: from
-        body: '{<masked_object_fields>}'
-  - name: credit_note
-    requests:
-      read:
-        method: GET
-        path: /v1/credit_notes
-        query_params:
-          - name: customer
-            value: <customer_id>
-          - name: limit
-            value: <limit>
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: customer.id
-                direction: from
-          - name: limit
-            connector_param: items_per_page
-        data_path: data
-        pagination:
-          strategy: cursor
-          configuration:
-            cursor_param: starting_after
-            field: id
-  - name: customer_balance_transaction
-    requests:
-      read:
-        method: GET
-        path: /v1/customers/<customer_id>/balance_transactions
-        query_params:
-          - name: limit
-            value: <limit>
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: customer.id
-                direction: from
-          - name: limit
-            connector_param: items_per_page
-        data_path: data
-        pagination:
-          strategy: cursor
-          configuration:
-            cursor_param: starting_after
-            field: id
-  - name: tax_id
-    requests:
-      read:
-        method: GET
-        path: /v1/customers/<customer_id>/tax_ids
-        query_params:
-          - name: limit
-            value: <limit>
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: customer.id
-                direction: from
-          - name: limit
-            connector_param: items_per_page
-        data_path: data
-        pagination:
-          strategy: cursor
-          configuration:
-            cursor_param: starting_after
-            field: id
-      delete:
-        method: DELETE
-        path: /v1/customers/<customer_id>/tax_ids/<tax_id>
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: tax_id.customer
-                direction: from
-          - name: tax_id
-            references:
-              - dataset: stripe_connector_example
-                field: tax_id.id
-                direction: from
-  - name: invoice
-    requests:
-      read:
-        method: GET
-        path: /v1/invoices
-        query_params:
-          - name: customer
-            value: <customer_id>
-          - name: limit
-            value: <limit>
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: customer.id
-                direction: from
-          - name: limit
-            connector_param: items_per_page
-        data_path: data
-        pagination:
-          strategy: cursor
-          configuration:
-            cursor_param: starting_after
-            field: id
-      delete:
-        method: DELETE
-        ignore_errors: true # You can only delete draft invoices. You can't delete invoices created by subscriptions.
-        path: /v1/invoices/<invoice_id>
-        param_values:
-          - name: invoice_id
-            references:
-              - dataset: stripe_connector_example
-                field: invoice.id
-                direction: from
-  - name: invoice_item
-    requests:
-      read:
-        method: GET
-        path: /v1/invoiceitems
-        query_params:
-          - name: customer
-            value: <customer_id>
-          - name: limit
-            value: <limit>
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: customer.id
-                direction: from
-          - name: limit
-            connector_param: items_per_page
-        data_path: data
-        pagination:
-          strategy: cursor
-          configuration:
-            cursor_param: starting_after
-            field: id
-      delete:
-        method: DELETE
-        ignore_errors: true # Can't delete an invoice item that is attached to an invoice that is no longer editable
-        path: /v1/invoiceitems/<invoice_item_id>
-        param_values:
-         - name: invoice_item_id
-           references:
-              - dataset: stripe_connector_example
-                field: invoice_item.id
-                direction: from
-  - name: subscription
-    requests:
-      read:
-        method: GET
-        path: /v1/subscriptions
-        query_params:
-          - name: customer
-            value: <customer_id>
-          - name: limit
-            value: <limit>
-        param_values:
-          - name: customer_id
-            references:
-              - dataset: stripe_connector_example
-                field: customer.id
-                direction: from
-          - name: limit
-            connector_param: items_per_page
-        data_path: data
-        pagination:
-          strategy: cursor
-          configuration:
-            cursor_param: starting_after
-            field: id
-      delete:
-        method: DELETE
-        path: /v1/subscriptions/<subscription_id>
-        param_values:
-          - name: subscription_id
-            references:
-              - dataset: stripe_connector_example
-                field: subscription.id
-                direction: from
-```
diff --git a/docs/fides/docs/saas_connectors/example_configs/zendesk.md b/docs/fides/docs/saas_connectors/example_configs/zendesk.md
deleted file mode 100644
index 2c5e85a360..0000000000
--- a/docs/fides/docs/saas_connectors/example_configs/zendesk.md
+++ /dev/null
@@ -1,150 +0,0 @@
-
-# Zendesk
-
-## Implementation Summary
-
-Fides uses the following Zendesk endpoints to retrieve and delete Personally Identifiable Information (PII) when processing a Privacy Request. Right to Access and Right to Delete (Right to Forget) support for each endpoint is noted below.
-
-|Endpoint | Right to Access | Right to Delete |
-|----|----|----|
-|[Search](https://developer.zendesk.com/api-reference/ticketing/ticket-management/search/) | Yes | No |
-|[Identities](https://developer.zendesk.com/api-reference/ticketing/users/user_identities/) | Yes | No |
-|[Tickets](https://developer.zendesk.com/api-reference/ticketing/tickets/tickets/) | Yes | Yes |
-|[Ticket Comments](https://developer.zendesk.com/api-reference/ticketing/tickets/ticket_comments/) | Yes | Yes |
-
-## Connection Settings
-
-Fides provides a [Postman collection](../../development/postman/using_postman.md) for easily establishing connections to your third party applications. Additional connection instructions may be found in the [configuration guide](../saas_config.md).
-
-**Deletion requests** are fulfilled by masking PII via `UPDATE` endpoints. To [give Fides permission](../../installation/configuration.md#configuration-variable-reference) to remove PII using `DELETE` endpoints, ensure the `masking_strict` variable in your `fides.toml` file is set to `false`.
-
-## Example Zendesk Configuration
-
-```yaml
-saas_config:
-  fides_key: zendesk_connector_example
-  name: Zendesk SaaS Config
-  type: zendesk
-  description: A sample schema representing the Zendesk connector for Fides
-  version: 0.0.1
-
-  connector_params:
-    - name: domain
-    - name: username
-    - name: api_key
-    - name: page_size
-
-  client_config:
-    protocol: https
-    host: <domain>
-    authentication:
-      strategy: basic
-      configuration:
-        username: <username>
-        password: <api_key>
-
-  test_request:
-    method: GET
-    path: /api/v2/users/search.json
-    query_params:
-      - name: query
-        value: test@ethyca
-
-  endpoints:
-    - name: users
-      requests:
-        read:
-          method: GET
-          path: /api/v2/users/search.json
-          query_params:
-            - name: query
-              value: <email>
-          param_values:
-            - name: email
-              identity: email
-          data_path: users
-        delete:
-          method: DELETE
-          path: /api/v2/users/<user_id>.json
-          param_values:
-            - name: user_id
-              references:
-                - dataset: zendesk_connector_example
-                  field: users.id
-                  direction: from
-    - name: user_identities
-      requests:
-        read:
-          method: GET
-          path: /api/v2/users/<user_id>/identities.json
-          query_params:
-            - name: page[size]
-              value: <page_size>
-          param_values:
-            - name: user_id
-              references:
-                - dataset: zendesk_connector_example
-                  field: users.id
-                  direction: from
-            - name: page_size
-              connector_param: page_size
-          data_path: identities
-          pagination:
-            strategy: link
-            configuration:
-              source: body
-              path: links.next
-    - name: tickets
-      requests:
-        read:
-          method: GET
-          path: /api/v2/users/<user_id>/tickets/requested.json
-          query_params:
-            - name: page[size]
-              value: <page_size>
-          param_values:
-            - name: user_id
-              references:
-                - dataset: zendesk_connector_example
-                  field: users.id
-                  direction: from
-            - name: page_size
-              connector_param: page_size
-          data_path: tickets
-          pagination:
-            strategy: link
-            configuration:
-              source: body
-              path: links.next
-        delete:
-          method: DELETE
-          path: /api/v2/tickets/<ticket_id>.json
-          param_values:
-            - name: ticket_id
-              references:
-                - dataset: zendesk_connector_example
-                  field: tickets.id
-                  direction: from
-    - name: ticket_comments
-      requests:
-        read:
-          method: GET
-          path: /api/v2/tickets/<ticket_id>/comments.json
-          query_params:
-            - name: page[size]
-              value: <page_size>
-          param_values:
-            - name: ticket_id
-              references:
-                - dataset: zendesk_connector_example
-                  field: tickets.id
-                  direction: from
-            - name: page_size
-              connector_param: page_size
-          data_path: comments
-          pagination:
-            strategy: link
-            configuration:
-              source: body
-              path: links.next
-```
diff --git a/docs/fides/docs/saas_connectors/saas_config.md b/docs/fides/docs/saas_connectors/saas_config.md
deleted file mode 100644
index 3878f86127..0000000000
--- a/docs/fides/docs/saas_connectors/saas_config.md
+++ /dev/null
@@ -1,683 +0,0 @@
-## What is a SaaS configuration schema?
-
-A [SaaS connector](saas_connectors.md) is defined in two parts: the [Dataset](../getting-started/datasets.md), and the SaaS configuration. The Dataset describes the data that is available from the connector, and the SaaS config describes how to connect to, and retrieve or update the data in the connector.
-
-When accessing data from APIs, each application (and different endpoints within the same application) can follow different patterns, making their requirements different from [Database connectors](../getting-started/database_connectors.md). Fides provides a flexible configuration to define different access/update patterns.
-
-#### An example SaaS config
-
-This guide will use a SaaS configuration to connect to [Mailchimp](./example_configs/mailchimp.md). The configuration schema defines:
-
-- The domain and authentication requirements for an HTTP client to access Mailchimp
-- A test request for verifying the connection was set up correctly
-- Endpoints to the following resources within the Mailchimp API:
-  - `GET` and `PUT` for the [members](https://mailchimp.com/developer/marketing/api/list-members/) resource
-  - `GET` for the [conversations](https://mailchimp.com/developer/marketing/api/conversations/) resource
-  - `GET` for the [messages](https://mailchimp.com/developer/marketing/api/conversation-messages/) resource
-
-The following is an example SaaS config for Mailchimp:
-
-```yaml
-saas_config:
-  fides_key: mailchimp_connector_example
-  name: Mailchimp SaaS Config
-  type: mailchimp
-  description: A sample schema representing the Mailchimp connector for fides
-  version: 0.0.1
-
-  connector_params:
-    - name: domain
-    - name: username
-    - name: api_key
-
-  client_config:
-    protocol: https
-    host: <domain>
-    authentication:
-      strategy: basic
-      configuration:
-        username: <username>
-        password: <api_key>
-
-  rate_limit_config:
-    limits:
-    - rate: 10
-      period: second
-
-  test_request:
-    method: GET
-    path: /3.0/lists
-
-  endpoints:
-  - name: messages
-    requests:
-      read:
-        method: GET
-        path: /3.0/conversations/<conversation_id>/messages
-        param_values:
-          - name: conversation_id
-            references:
-              - dataset: mailchimp_connector_example
-                field: conversations.id
-                direction: from
-        data_path: conversation_messages
-        postprocessors:
-          - strategy: filter
-            configuration:
-              field: from_email
-              value:
-                identity: email
-        rate_limit_config:
-          enabled: false
-  - name: conversations
-    requests:
-      read:
-        method: GET
-        path: /3.0/conversations
-        query_params:
-          - name: count
-            value: 1000
-          - name: offset
-            value: 0
-        param_values:
-          - name: placeholder
-            identity: email
-        data_path: conversations
-        pagination:
-          strategy: offset
-          configuration:
-            incremental_param: offset
-            increment_by: 1000
-            limit: 10000
-  - name: member
-    requests:
-      read:
-        method: GET
-        path: /3.0/search-members
-        query_params:
-          - name: query
-            value: <email>
-        param_values:
-          - name: email
-            identity: email
-        data_path: exact_matches.members
-      update:
-        method: PUT
-        path: /3.0/lists/<list_id>/members/<subscriber_hash>
-        param_values:
-          - name: list_id
-            references:
-              - dataset: mailchimp_connector_example
-                field: member.list_id
-                direction: from
-          - name: subscriber_hash
-            references:
-              - dataset: mailchimp_connector_example
-                field: member.id
-                direction: from
-```
-
-
-#### SaaS config metadata fields
-
-| Attribute | Description |
-|----|----|
-| `fides_key` | Used to uniquely identify the connector, and to link a SaaS config to a dataset. |
-| `name` | A human-readable name for the connector. |
-| `type` | Type of SaaS connector. Choose from `hubspot`, `mailchimp`, or the other [available connectors](./example_configs/adobe.md), or use `custom` for other types. |
-| `description` | Used to add a useful description. |
-| `version` | Used to track different versions of the SaaS config.
-
-The above configuration also contains the following complex fields
-
-- `connector_params`
-- `client_config`
-- `rate_limit_config`
-- `test_request`
-- `endpoints`
-- `data_protection_request`
-
-#### Connector params
-
-The `connector_params` field is used to describe a list of settings which a user must configure as part of the setup. A `default_value` can also be used to include values such as a standard base domain for an API or a recommended page size for pagination. Make sure to not include confidential values such as passwords or API keys, these values are added as part of the Connection [secrets](../getting-started/database_connectors.md#set-the-connection-secrets). When configuring a connector's secrets for the first time, the default values will be used if a value is not provided.
-
-```yaml
-connector_params:
-  - name: domain
-    default_value: api.stripe.com
-  - name: username
-  - name: password
-  - name: page_size
-    default_value: 100
-```
-
-#### External references
-The `external_references` field is used to describe a list of external dataset references that a user must configure as part of the setup. These dataset references point to fields in a registered Fides dataset that are used to provide necessary values to the SaaS connector execution. The location of these fields depends on the use-case, so they cannot be determined beforehand, and therefore must be configured at the time of setting up the SaaS connector.
-
-```yaml
-external_references:
-    - name: doordash_delivery_id
-      description: An external reference to a field/column in some database table that provides Doordash delivery IDs. This reference must be configured.
-```
-
-#### Client config
-
-The `client_config` field describes the necessary information to be able to create a base HTTP client. The values for host, username, and password are not defined here, only referenced in the form of a `connector_param` which Fides uses to insert the actual value from the stored secrets.
-
-```yaml
-client_config:
-  protocol: https
-  host: <host>
-  authentication:
-    strategy: basic
-    configuration:
-      username: <username>
-      password: <password>
-```
-
-The authentication strategies are swappable. This example uses the `basic` authentication strategy, which takes a `username` and `password` in the configuration. An alternative to this is to use `bearer` authentication which looks like this:
-
-
-```yaml
-authentication:
-  strategy: bearer
-  configuration:
-    token: <api_key>
-```
-
-
-Fides also supports [OAuth2 authentication](saas_oauth2.md).
-
-#### Rate limits
-
-The `rate_limit_config` field describes rate limits which can be used to limit how fast requests can be made to an endpoint. They can also be configured at the [endpoint request level](#endpoints). 
-
-```yaml
-rate_limit_config:
-  enabled: true
-  limits:
-  - rate: <rate>
-    period: <period>
-```
-
-Rate limiter supports `second`, `minute`, `hour` and `day`periods. See [Saas Rate Limiting](./saas_rate_limiting.md) for additional details.
-
-#### Test request
-
-Once the base client is defined, use a `test_request` to verify the hostname and credentials. This is in the form of an idempotent request (usually a `read` request). The testing approach is the same for any [Connection](../getting-started/database_connectors.md#test-your-connection)
-
-```yaml
-test_request:
-  method: GET
-  path: /3.0/lists
-```
-
-
-#### Data protection request
-
-If your third party integration supports something like a GDPR delete endpoint, that can be configured as a `data_protection_request`.  It has similar attributes to endpoint requests, but is generally one endpoint that removes all user information in one call.
-
-
-```yaml
-data_protection_request:
-  method: POST
-  path: /v1beta/workspaces/<workspace_name>/regulations
-  param_values:
-    - name: workspace_name
-      connector_param: workspace
-    - name: user_id
-      identity: email
-  body: '{"regulation_type": "Suppress_With_Delete", "attributes": {"name": "userId", "values": ["<user_id>",]}}'
-  client_config:
-    protocol: https
-    host: <config_domain>
-    authentication:
-      strategy: bearer
-      configuration:
-        username: <access_token>
-```
-
-#### Endpoints
-
-The endpoints configuration defines how collections are accessed and updated. The endpoint section contains the following members:
-
-| Attribute | Description |
-|----|----|
-| `name` | This name corresponds to a collection in the corresponding Dataset. |
-| `after` | To configure if this endpoint should run after other endpoints or collections. This should be a list of collection addresses. For example, `after: [ mailchimp_connector_example.member ]` would cause the current endpoint to run after the `member` endpoint. |
-| `requests` | A map of `read`, `update`, and `delete` requests for this collection. Each collection can define a way to read and a way to update the data.
-
-The `requests` configuration further contains the following fields:
-
-| Attribute | Description |
-|----|----|
-| `method` | The HTTP method used for the endpoint. |
-| `path` | A static or dynamic resource path. The dynamic portions of the path are enclosed within angle brackets `<dynamic_value>` and are replaced with values from `param_values`. |
-| `headers` and `query_params` | The HTTP headers and query parameters to include in the request. |
-| `headers.name`, `query_params.name` | The value to use for the header or query param name. |
-| `headers.value`, `query_params.value` | This can be a static value, one or more of `<dynamic_value>`, or a mix of static and dynamic values (prefix `<value>`) which will be replaced with the value sourced from the `param_value` with a matching name. |
-| `body` | *Optional.* A static or dynamic request body, with dynamic portions enclosed in brackets, just like `path`. These dynamic values will be replaced with values from `param_values`. |
-| `param_values.name` | Used as the key to reference this value from dynamic values in the path, headers, query, or body params.
-| `param_values.references` | These are the same as `references` in a [Dataset](../getting-started/datasets.md). It is used to define the source of the value for the given `param_value`.
-| `param_values.identity` | Used to access the identity values passed into the privacy request such as email or phone number.
-| `param_values.connector_param` | Used to access the user-configured secrets for the connection.
-| `ignore_errors` | A boolean. If true, we will ignore non-200 status codes.
-| `data_path` | The expression used to access the collection information from the raw JSON response.
-| `postprocessors` | An optional list of response post-processing strategies. We will ignore this for the example scenarios below but an in depth-explanation can be found under [SaaS Post-Processors](saas_postprocessors.md).
-| `pagination` | An optional strategy used to get the next set of results from APIs with resources spanning multiple pages. Details can be found under [SaaS Pagination](saas_pagination.md).
-|`grouped_inputs` | An optional list of reference fields whose inputs are dependent upon one another.  For example, an endpoint may need both an `organization_id` and a `project_id` from another endpoint.  These aren't independent values, as a `project_id` belongs to an `organization_id`.  You would specify this as `["organization_id", "project_id"]`.
-| `client_config` | Specify optional embedded Client Configs if an individual request needs a different protocol, host, or authentication strategy from the base Client Config.
-| `rate_limit_config` | An optional rate limit configuration. Can be used to set rate limits or disable limiting for a specific endpoint. See [Saas Rate Limiting](./saas_rate_limiting.md) for additional details.
-
-## Param_values in more detail
-
-The `param_values` list is what provides the values to the various placeholders in the path, headers, query params and body. Values can be `identities`, such as email or phone number, `references` to fields in other collections or to an `external_reference`, or `connector_params` which are defined as part of configuring a SaaS connector.
-
-Whenever a placeholder is encountered, the placeholder name is looked up in the list of `param_values` and the corresponding value is used instead. Here is an example of placeholders being used in various locations
-
-```yaml
-messages:
-  requests:
-    read:
-      method: GET
-      path: /<version>/messages
-      headers:
-        - name: Content-Type
-          value: application/json
-        - name: On-Behalf-Of
-          value: <email>
-        - name: Token
-          value: Custom <api_key>
-      query_params:
-        - name: count
-          value: 100
-        - name: organization:
-          value: <org_id>
-        - name: where:
-          value: properties["$email"]=="<email>"
-      param_values:
-        - name: email
-          identity: email
-        - name: api_key
-          connector_param: api_key
-        - name: org_id
-          connector_param: org_id
-        - name: version
-          connector_param: version
-```
-
-
-## Generating requests
-
-The following HTTP request properties are generated for each request based on the endpoint configuration:
-
-- method
-- path
-- headers
-- query params
-- body
-
-**Method:** This is a required field since a read, update, or delete endpoint might use any of the HTTP methods to perform the given action.
-
-**Path:** This can be a static value or use placeholders. If the placeholders to build the path are not found at request-time, the request will fail.
-
-**Headers and query params:** These can also be static or use placeholders. If a placeholder is missing, the request will continue and omit the given header or query param in the request
-
-If reference values are used for the placeholders, each value will be processed independently unless the `grouped_inputs` field is set. The following examples use query params but this applies to headers as well.
-
-**With ungrouped inputs (default)**
-
-```yaml
-read:
-  method: GET
-  path: /v1/disputes
-  query_params:
-    - name: charge
-      value: <charge_id>
-    - name: line_item
-      value: <line_item_id>
-  param_values:
-  - name: charge_id
-    references:
-      - dataset: connector_example
-        field: charge.id
-        direction: from
-  - name: line_item_id
-    references:
-      - dataset: connector_example
-        field: charge.line_item.id
-        direction: from
-```
-
-```yaml
-GET /v1/disputes?charge=1
-GET /v1/disputes?charge=2
-GET /v1/disputes?charge=3
-GET /v1/disputes?line_item=a
-GET /v1/disputes?line_item=b
-GET /v1/disputes?line_item=c
-```
-
-**With grouped inputs**
-
-```yaml
-read:
-  method: GET
-  path: /v1/disputes
-  grouped_inputs: [charge_id, payment_intent_id]
-  query_params:
-    - name: charge
-      value: <charge_id>
-    - name: line_item
-      value: <line_item_id>
-  param_values:
-  - name: charge_id
-    references:
-      - dataset: connector_example
-        field: charge.id
-        direction: from
-  - name: line_item_id
-    references:
-      - dataset: connector_example
-        field: charge.line_item.id
-        direction: from
-```
-
-```yaml
-GET /v1/disputes?charge=1&line_item=a
-GET /v1/disputes?charge=2&line_item=b
-GET /v1/disputes?charge=3&line_item=c
-```
-
-**Body:** The body can be static or use placeholders. If the placeholders to build the body are not found at request-time, the request will fail.
-
-The following placeholders can be included in the body of an update:
-
-- `<masked_object_fields>` - any masked fields, along with their masked value
-- `<all_object_fields>` - all object fields, including the masked fields and values
-
-Fides will automatically fill in the value of these placeholders with the appropriate contents.
-
-For example, an access request returned the following row
-
-```json
-{
-  "id": 123,
-  "name": "Bobby Hill",
-  "address": "Arlen TX"
-}
-```
-
-With the `name` field masked, the value of each placeholder would be:
-
-| Placeholder | Value |
-|---|---|
-| `<masked_object_fields>` | `"name":"MASKED"` |
-| `<all_object_fields>` | `"id":123,"name":"MASKED","address":"Arlen TX"` |
-
-!!! Tip "`all_object_fields` should be used if non-masked fields are required as part of the update payload."
-
-**Read-Only fields:** A field can be flagged as `read-only` in the dataset to exclude it from the value of `<all_object_fields>` (for example, if including the `id` would cause an error).
-
-```yaml
-- name: id
-  data_categories: [system.operations]
-  fidesops_meta:
-    read_only: True
-```
-
-This would result in the following change, with `id` removed from the result:
-
-| Placeholder | Value |
-|---|---|
-| `<all_object_fields>` | `"name":"MASKED","address":"Arlen TX"` |
-
-## Example scenarios
-
-#### Dynamic path with dataset references
-
-```yaml
-endpoints:
-  - name: messages
-    requests:
-      read:
-        method: GET
-        path: /3.0/conversations/<conversation_id>/messages
-        param_values:
-          - name: conversation_id
-            references:
-              - dataset: mailchimp_connector_example
-                field: conversations.id
-                direction: from
-```
-
-In this example, `/3.0/conversations/<conversation_id>/messages` is defined as the resource path for messages, and the path param of `conversation_id` is defined as coming from the `id` field of the `conversations` collection. A separate GET HTTP request will be issued for each `conversations.id` value.
-
-```yaml
-# For three conversations with IDs of 1,2,3
-GET /3.0/conversations/1/messages
-GET /3.0/conversations/2/messages
-GET /3.0/conversations/2/messages
-```
-
-
-#### Identity as a query param
-
-```yaml
-endpoints:
-  - name: member
-    requests:
-      read:
-        method: GET
-        path: /3.0/search-members
-        query_params:
-          - name: query
-            value: <email>
-        param_values:
-          - name: email
-            identity: email
-```
-
-In this example, the placeholder in the `query` query param will be replaced with the value of the `param_value` with a name of `email`, which is the `email` identity. The result would look like this:
-
-
-```
-GET /3.0/search-members?query=name@email.com
-```
-
-
-#### Data update with a dynamic path
-
-```yaml
-endpoints:
-  - name: member
-    requests:
-      update:
-        method: PUT
-        path: /3.0/lists/<list_id>/members/<subscriber_hash>
-        param_values:
-          - name: list_id
-            references:
-              - dataset: mailchimp_connector_example
-                field: member.list_id
-                direction: from
-          - name: subscriber_hash
-            references:
-              - dataset: mailchimp_connector_example
-                field: member.id
-                direction: from
-```
-
-This example uses two dynamic path variables, one from `member.id` and one from `member.list_id`. Since both of these are references to the `member` collection, first issue a data retrieval (which will happen automatically if the `read` request is defined). If a call to `GET /3.0/search-members` returned the following `member` object:
-
-```yaml
-{
-    "list_id": "123",
-    "id": "456",
-    "merge_fields": {
-      "FNAME": "First",
-      "LNAME": "Last"
-    }
-}
-```
-
-Then the update request would be:
-
-```yaml
-PUT /3.0/lists/123/members/456
-
-{
-    "list_id": "123",
-    "id": "456",
-    "merge_fields": {
-      "FNAME": "MASKED",
-      "LNAME": "MASKED"
-    }
-}
-```
-
-and the contents of the body would be masked according to the configured [policy](../getting-started/execution_policies.md).
-
-#### Data update with a dynamic HTTP body
-
-Sometimes, the update request needs a different body structure than what is obtained from the read request. In this example, use a custom HTTP body that contains the masked object fields.
-
-```yaml
-update:
-  method: PUT
-  path: /crm/v3/objects/contacts
-  body: '{
-    "properties": {
-      <masked_object_fields>,
-      "user_ref_id": <user_ref_id>            
-    }
-  }'
-  param_values:
-    - name: user_ref_id
-      references:
-        - dataset: dataset_test
-          field: contacts.user_ref_id
-          direction: from
-```
-
-Fides will replace the `<masked_object_fields>` placeholder with the result of the policy-driven masking service (e.g. `'company': None, 'email': None`). Note that neither enclosing curly brackets (`{` `}`) nor a trailing comma (`,`) are included as part of the replacement string.
-
-This results in the following update request:
-
-```yaml
-PUT /crm/v3/objects/contacts
-
-{
-  "properties": {
-      "company": "None",
-      "email": "None"
-      "user_ref_id": "p983u4ncp3q8u4r"
-  }
-}
-```
-
-## How does this relate to graph traversal?
-
-Fides uses the available Datasets to [generate a graph](../guides/query_execution.md) of all reachable data and the dependencies between Datasets. For SaaS connectors, all the references and identities are stored in the `param_values`, and must merge both the SaaS config and Dataset to provide a complete picture for the graph traversal. Using Mailchimp as an example, the Dataset collection and SaaS config endpoints for `messages` looks like this:
-
-```yaml
-collections:
-  - name: messages
-    fields:
-      - name: id
-        data_categories: [system.operations]
-      - name: conversation_id
-        data_categories: [system.operations]
-      - name: from_label
-        data_categories: [system.operations]
-      - name: from_email
-        data_categories: [user.contact.email]
-      - name: subject
-        data_categories: [system.operations]
-      - name: message
-        data_categories: [system.operations]
-      - name: read
-        data_categories: [system.operations]
-      - name: timestamp
-        data_categories: [system.operations]
-```
-
-```yaml
-endpoints:
-  - name: messages
-    requests:
-      read:
-        method: GET
-        path: /3.0/conversations/<conversation_id>/messages
-        param_values:
-          - name: conversation_id
-            references:
-              - dataset: mailchimp_connector_example
-                field: conversations.id
-                direction: from
-        postprocessors:
-          - strategy: unwrap
-            configuration:
-              data_path: conversation_messages
-          - strategy: filter
-            configuration:
-              field: from_email
-              value:
-                identity: email
-```
-
-An example of the augmented Dataset with the SaaS Config references would look like this:
-
-```yaml
-collections:
-  - name: messages
-    fields:
-      - name: id
-        data_categories: [system.operations]
-      - name: conversation_id
-        data_categories: [system.operations]
-        fidesops_meta:
-          references:
-            - dataset: mailchimp_connector_example
-              field: conversations.id
-              direction: from
-      - name: from_label
-        data_categories: [system.operations]
-      - name: from_email
-        data_categories: [user.contact.email]
-      - name: subject
-        data_categories: [system.operations]
-      - name: message
-        data_categories: [system.operations]
-      - name: read
-        data_categories: [system.operations]
-      - name: timestamp
-        data_categories: [system.operations]
-```
-
-The `conversation_id` field is updated with a reference from `mailchimp_connector_example.conversations.id`. This means that the `conversations` collection must be retrieved first, then forward the conversation IDs to the messages collection for further processing.
-
-## What if a collection has no dependencies?
-
-In the Mailchimp example, there is a `placeholder` request param
-
-```yaml
-endpoints:
-  - name: conversations
-    requests:
-      read:
-        method: GET
-        path: /3.0/conversations
-        query_params:
-          - name: count
-            value: 1000
-          - name: offset
-            value: 0
-        param_values:
-          - name: placeholder
-            identity: email
-```
-
-Some endpoints might not have any external dependencies on `identity` or Dataset `reference` values. The way the Fides [graph traversal](../guides/query_execution.md) interprets this is as an unreachable collection. At this time, the way to mark this as reachable is to include a `param_value` with an identity or a reference.
-
-In the future, collections like these will still be considered reachable even without this placeholder
diff --git a/docs/fides/docs/saas_connectors/saas_connectors.md b/docs/fides/docs/saas_connectors/saas_connectors.md
deleted file mode 100644
index b18e05e089..0000000000
--- a/docs/fides/docs/saas_connectors/saas_connectors.md
+++ /dev/null
@@ -1,103 +0,0 @@
-# Connect to SaaS Applications
-
-## What is a SaaS connection?
-
-A Fides SaaS (Software as a Service) Connection allows a user to connect to a third-party application (e.g., Mailchimp, Stripe, Slack, etc.), and execute data access and erasure requests against that application. Fides represents your SaaS connections as a [Dataset](../getting-started/datasets.md), accessed via a [Connection](../getting-started/database_connectors.md), and configured by a [SaaS config](./saas_config.md).
-
-## Supported SaaS applications
-
-The current implementation of the SaaS framework can support any SaaS application that uses these features:
-
-- Basic auth, bearer auth, OAuth2 (Authorization Code Flow)
-- Data access via HTTP requests
-- Erasure via HTTP requests
-- Pagination based on headers and response contents
-
-The following features are planned for future releases and will allow for the configuration of broader types of connections:
-
-- Custom Python functions for access and erasure requests
-- Retry logic based on status codes and response contents
-
-For full examples of supported Connections, see the [example configurations](./example_configs/adobe.md).
-
-## Configure a SaaS connector
-
-A SaaS Connector [Postman](../development/postman/using_postman.md) collection is available to execute the necessary steps to configure a SaaS connector. When running the Fides webserver, you may also navigate to the interactive API docs at `http://{server_url}/docs` (e.g., `http://0.0.0.0:8080/docs`) to access the following endpoints.
-
-### Create a [Connection](../getting-started/database_connectors.md) of type `saas`
-
-```json title="<code>PATCH api/v1/connection</code>"
-[
-  {
-    "name": "SaaS Application",
-    "key": {saas_key},
-    "connection_type": "saas",
-    "access": "read"
-  }
-]
-```
-
-### Add a SaaS Config (in JSON format)
-
-```json title="<code>PATCH api/v1/connection/{saas_key}/saas_config</code>"
-{
-    "fides_key": "mailchimp_connector_example",
-    "name": "Mailchimp SaaS Config",
-    "type": "mailchimp",
-    "description": "A sample schema representing the Mailchimp connector for fides"
-    ...
-```
-
-### Configure your secrets
-
-```json title="<coce>PUT api/v1/connection/{saas_key}/secret</code>"
-{
-  "domain": "{mailchimp_domain}",
-  "username": "{mailchimp_username}",
-  "api_key": "{mailchimp_api_key}"
-}
-```
-
-### Add a Dataset (in JSON format)
-
-```json title="<code>PUT api/v1/connection/{saas_key}/dataset</code>"
-[
-  {
-    "fides_key":"mailchimp_connector_example",
-    "name":"Mailchimp Dataset",
-    "description":"A sample dataset representing the Mailchimp connector for fidesops",
-    "collections":[
-      {
-        "name":"messages"
-    ...
-```
-
-## Additional considerations
-
-The following constraints are enforced by the API validation:
-
-1. A SaaS connector dataset cannot have any `identities` or `references` in the `fidesops_meta`. These relationships must be defined in the [SaaS config](./saas_config.md).
-2. SaaS config references can only have a direction of `from`.
-3. The `fides_key` between the SaaS config and the Dataset must match in order to be associated.
-
-## Set up a SaaS connector from a template
-
-To create all the resources necessary to set up a SaaS Connector in one request, you can create a connector from
-a template. This creates a `saas` Connection with your supplied name and description, using your supplied `secrets`.
-
-The example below creates a [mailchimp](./example_configs/mailchimp.md) saas connector, and would need the relevant mailchimp `secrets`.
-
-Your `instance_key` will become the identifier for the related [Dataset](../getting-started/datasets.md). By default, the saas connection config is enabled with write access.
-
-```json title="<code>POST /connection/instantiate/mailchimp</code>"
-{
-    "name": "My Mailchimp connector",
-    "description": "Production Mailchimp Instance",
-    "secrets": {
-        "domain": "{{mailchimp_domain}}",
-        "api_key": "{{mailchimp_api_key}}",
-        "username": "{{mailchimp_username}}"
-    },
-    "instance_key": "primary_mailchimp",
-}
-```
diff --git a/docs/fides/docs/saas_connectors/saas_oauth2.md b/docs/fides/docs/saas_connectors/saas_oauth2.md
deleted file mode 100644
index cb4d6d7c26..0000000000
--- a/docs/fides/docs/saas_connectors/saas_oauth2.md
+++ /dev/null
@@ -1,158 +0,0 @@
-SaaS connectors support two OAuth2 flows:
-
-- [Authorization Code](https://oauth.net/2/grant-types/authorization-code/): `oauth2_authorization_code`
-- [Client Credentials](https://oauth.net/2/grant-types/client-credentials/): `oauth2_client_credentials`
-
-This Authentication Code flow has the following configuration values:
-
-- `authorization_request`: The request to build the URL that is presented to the user to authenticate this connection.
-- `token_request`: The request made to retrieve the access token after the authorization code is returned via the `/oauth/callback` endpoint.
-- `refresh_request` (_optional_): The request to refresh an access token.
-- `expires_in` (_optional_): The lifetime of an access token (in seconds). This is used if the OAuth2 workflow in use does not provide expiration information ([RFC 6749 Section 5.1](https://datatracker.ietf.org/doc/html/rfc6749#section-5.1)).
-
-The Client Credential flow has all these values except for `authorization_request` since it is not required for this flow.
-
-## Sample Configuration
-
-Each OAuth2 request is fully configurable to account for the different ways the parameters can be mapped to a request. The following examples demonstrate the requests generated from sample configuration files.
-
-```yaml title="OAuth2 Authorization Code example"
-authentication:
-  strategy: oauth2_authorization_code
-  configuration:
-    authorization_request:
-      ...
-    token_request:
-      ...
-    refresh_request:
-      ...
-```
-
-### Authorization Request
-
-```yaml
-authorization_request:
-    method: GET
-    path: /auth/authorize
-    query_params:
-    - name: client_id
-        value: <client_id>
-    - name: redirect_uri
-        value: <redirect_uri>
-    - name: response_type
-        value: code
-    - name: scope
-        value: <scope>
-    - name: state
-        value: <state>
-```
-
-The above `authentication_request` will generate the following:
-
-```text title="GET request"
-https://<domain>/auth/authorize?client_id=<client_id>&redirect_uri=<redirect_uri>&response_type=code&scope=<scope>&state=<state>
-```
-
-The placeholders are sourced from the values defined in the [`connector_params`](saas_config.md#connector-params) of your SaaS config.
-
-The `<state>` placeholder is generated automatically with each authorization request. This authorization URL can be retrieved by calling:
-
-```text title="GET request"
-https://{{domain}}/api/v1/connection/{{connection_key}}/authorize
-```
-
-### Token Request
-
-```yaml
-token_request:
-    method: POST
-    path: /oauth/token
-    query_params:
-    - name: client_id
-        value: <client_id>
-    - name: client_secret
-        value: <client_secret>
-    - name: grant_type
-        value: authorization_code
-    - name: code
-        value: <code>
-```
-
-The `<code>` placeholder is defined automatically by Fides.
-
-The above `token_request` configuration generates the following:
-
-```text title="GET Request"
-https://<domain>/oauth_token?client_id=<client_id>&client_secret=<client_secret>&grant_type=authorization_code&code=<code>
-```
-
-This request is called automatically after Fides receives a callback response to the `https://{{domain}}/api/v1/oauth/callback` endpoint.
-
-#### Refresh Request
-
-```yaml
-refresh_request:
-    method: POST
-    path: /oauth/token
-    query_params:
-    - name: client_id
-        value: <client_id>
-    - name: client_secret
-        value: <client_secret>
-    - name: grant_type
-        value: refresh_token
-    - name: refresh_token
-        value: <refresh_token>
-```
-
-The `<refresh_token>` placeholder is defined automatically by Fides.
-
-The above `refresh_request` configuration generates the following:
-
-```
-GET https://<domain>/oauth_token?client_id=<client_id>&client_secret=<client_secret>&grant_type=refresh_token&refresh_token=<refresh_token>
-```
-
-This is called automatically when the `access_token` is about to expire. The expiration is usually defined in the response to the token request. If the expiration is not returned by the API, it can be specified manually by setting the `expires_in` field (which is defined in seconds):
-
-```yaml
-authentication:
-  strategy: oauth2_authorization_code
-  configuration:
-    expires_in: 3600
-    authorization_request:
-      ...
-    token_request:
-      ...
-    refresh_request:
-      ...
-```
-
-## Usage Checklist
-
-To use OAuth2 as a connection strategy, the following must be configured first:
-
-### For All OAuth2 Flows
-
-#### Per-connector Configuration
-
-- Fides must be able to connect to the SaaS provider (Outreach, Salesforce, etc.).
-- A **Client ID** and **Client Secret** must be generated within the SaaS provider’s admin console.
-  - This is dependent on the individual SaaS provider. Refer to the provider's documentation.
-- The connector using OAuth2 is configured using the steps for [how to configure a SaaS connector](../saas_connectors/#how-to-configure-a-saas-connector).
-
-### Additional Steps for Authentication Code Flow
-
-#### One-time Configuration
-
-- A callback server or network rules are required to forward the callback response from the SaaS providers to an instance of Fides. This is dependent on the user environment where Fides is deployed, and is out of scope for this documentation.
-- These incoming requests must be routed to `https://{{host}}/api/v1/oauth/callback`.
-
-#### Per-connector Configuration
-
-- The **Redirect URI** must be registered within the SaaS provider's admin console.
-- The OAuth2 workflow is initialized by following the URL returned from `https://{{domain}}/api/v1/connection/{{connection_key}}/authorize`.
-
-## OAuth2 Authentication Code Flow Diagram
-
-![OAuth2 Workflow](../img/oauth2_workflow.png "OAuth2 Workflow")
diff --git a/docs/fides/docs/saas_connectors/saas_pagination.md b/docs/fides/docs/saas_connectors/saas_pagination.md
deleted file mode 100644
index 13135cc7fd..0000000000
--- a/docs/fides/docs/saas_connectors/saas_pagination.md
+++ /dev/null
@@ -1,95 +0,0 @@
-# SaaS Pagination
-
-These pagination strategies allow Fides to incrementally retrieve content from SaaS APIs. APIs can vary in the way subsequent pages are accessed so these configurable options aim to cover a majority of common use cases.
-
-## Supported strategies
-- `offset`: Iterates through the available pages by incrementing the value of a query param.
-- `link`: Uses links returned in the headers or the body to get to the next page.
-- `cursor`: Uses a value from the last-retrieved object to use as a query param pointing to the next set of results.
-
-### Offset
-This strategy can be used to iterate through pages, or to define the offset for a batch of results. In either case, this strategy increments the specified query param by the `increment_by` value until no more results are returned or the `limit` is reached.
-
-#### Configuration details
-- `incremental_param` (_str_): The query param to increment the value for.
-- `increment_by` (_int_): The value to increment the `incremental_param` after each set of results.
-- `limit` (optional _str_): The max value the `incremental_param` can reach.
-
-#### Example
-This example would take the `page` query param and increment it by 1 until the limit of 10 is reached or no more results are returned (whichever comes first).
-```yaml
-pagination:
-  strategy: offset
-  configuration:
-    incremental_param: page
-    increment_by: 1
-    limit: 10
-```
-
-### Link
-This strategy is used when the link to the next page is provided as part of the API response. The link is read from the headers or the body and used to get the next page of results.
-
-#### Configuration details
-- `source` (_str_): The location to get the link from, can be either `headers` or `body`.
-- `path` (_str_): The expression used to refer to the location of the link within the headers or the body.
-
-#### Examples
-The source value of `headers` is meant to be used with responses following [RFC 5988](https://datatracker.ietf.org/doc/html/rfc5988#page-6).
-```
-Link: <https://api.host.com/conversations?page_ref=ad6f38r3>; rel="next",
-      <https://api.host.com/conversations?page_ref=gss8ap4g>; rel="prev"
-```
-Given this Link header, we can specify a rel of `next` (case-insensitive). This indicates that we are looking in the `Link` header with a `rel` of next.
-```yaml
-pagination:
-  strategy: link
-  configuration:
-    source: headers
-    rel: next
-```
-
-We can also access links returned in the body. If we receive this value in the body:
-```json
-{
-  ...
-  "next_page": {
-      "url": "https://api.host.com/conversations?page_ref=ad6f38r3"
-  }
-  ...
-}
-```
-We can use the path value of `next_page.url` as the expression to access the url.
-```yaml
-pagination:
-  strategy: link
-  configuration:
-    source: body
-    path: next_page.url
-```
-
-### Cursor
-This strategy is used when a specific value from a response object is used as a cursor to determine the starting point for the next set of results.
-
-#### Configuration Details
-- `cursor_param` (_str_): The name of the query param to assign the cursor value to.
-- `field` (_str_): The field to read from the most recently retrieved object to use as the cursor value.
-
-#### Examples
-If an API request returns the following:
-```json
-{
-  "messages": [
-      {"id": 1, "msg": "this is"},
-      {"id": 2, "msg": "a"}
-      {"id": 3, "msg": "test"}
-  ]
-}
-```
-This strategy will take the field `id` from the last item returned and generate a new request with a query param of `after=3`
-```yaml
-pagination:
-  strategy: cursor
-  configuration:
-    cursor_param: after
-    field: id
-```
diff --git a/docs/fides/docs/saas_connectors/saas_postprocessors.md b/docs/fides/docs/saas_connectors/saas_postprocessors.md
deleted file mode 100644
index 30fbadfdfa..0000000000
--- a/docs/fides/docs/saas_connectors/saas_postprocessors.md
+++ /dev/null
@@ -1,222 +0,0 @@
-# SaaS Post-Processors
-
-Post-processors are, in essence, data transformers. Given data from an endpoint, we can add specific processors to transform the data into a format we need for privacy requests.
-
-## Configuration
-
-Post-processors are configured within the `endpoints` section of a `saas_config`:
-
-```yaml
-endpoints:
-  - name: messages
-    requests:
-      read:
-        method: GET
-        path: /conversations/<id>/messages
-        param_values:
-          ...
-        postprocessors:
-          - strategy: unwrap
-            configuration:
-              data_path: conversation_messages
-          - strategy: filter
-            configuration:
-              field: from_email
-              value:
-                identity: email
-```
-
-Note: Order matters as it's defined in the config. In the above example, unwrap will be run first, then the output of unwrap will be used in the filter strategy.
-
-### Format subsequent requests
-
-Post-processors can format the results of your access requests for use in subsequent update or delete statements.
-
-For example, if we need to return the following in an access request:
-
-```json
-{"recipient": "test@email.com",
-  "subscriptions": [{
-    "id": "123",
-    "subscribed": "TRUE"
-  }]}
-```
-
-And we needed to perform an update request for each item within `subscriptions`, where `subscribed` = `TRUE`, then we'd need the following config for our update request:
-
-```yaml
-update:
-    ...
-    data_path: subscriptionStatuses
-    postprocessors:
-      - strategy: filter
-        configuration:
-          field: subscribed
-          value: TRUE
-```
-
-## Supported Strategies
-- `unwrap`: Gets object at given data path.
-- `filter`: Removes data that does not match a given field and value.
-
-
-### Filter
-
-Filters object or array given field name and value. Value can reference a dynamic identity passed in through the request OR be a hard-coded value.
-
-#### Configuration details
-
-`strategy`: filter
-
-`configuration`:
-
-- `field` (_str_): Corresponds to the field on which to filter. For example, we wish to filter where `email_contact == "bob@mail.com"`, then `field` will be `email_contact`.
-- `value` (_str_): Value to search for when filtering (e.g. hard-coded `bob@mail.com`) or Dict of identity path:
-    - `identity` (_str_): Identity object from privacy request (e.g. `email` or `phone_number`)
-- `exact` (optional _bool_ defaults to True): `value` and `field` value must be the same length (no extra characters).
-- `case_sensitive` (optional _bool_ defaults to True): Cases must match between `value` and `field` value.
-
-#### Examples
-
-Post-Processor Config:
-```yaml
-- strategy: filter
-  configuration:
-    field: email_contact
-    value:
-      identity: email
-```
-
-Identity data passed in through request:
-
-```json
-{
-  "email": "somebody@email.com"
-}
-```
-
-Data to be processed:
-```json
-[
-    {
-        "id": 1397429347,
-        "email_contact": "somebody@email.com",
-        "name": "Somebody Awesome"
-    },
-    {
-        "id": 238475234,
-        "email_contact": "somebody-else@email.com",
-        "name": "Somebody Cool"
-    }
-]
-```
-
-Result:
-```json
-[
-    {
-        "id": 1397429347,
-        "email_contact": "somebody@email.com",
-        "name": "Somebody Awesome"
-    }
-]
-```
-By default, this filter is exact and case-sensitive.
-
-Post-Processor Config:
-```yaml
-- strategy: filter
-  configuration:
-    field: email_contact
-    value:
-      identity: email
-    exact: False
-    case_sensitive: False
-```
-
-Identity data passed in through request:
-
-```json
-{
-  "email": "somebody@email.com"
-}
-```
-
-Data to be processed:
-```json
-[
-    {
-        "id": 1397429347,
-        "email_contact": "[Somebody Awesome] SOMEBODY@email.com",
-        "name": "Somebody Awesome"
-    },
-    {
-        "id": 1397429348,
-        "email_contact": "somebody@email.com",
-        "name": "Somebody Awesome"
-    }
-]
-```
-
-Result:
-```json
-[
-    {
-        "id": 1397429347,
-        "email_contact": "[Somebody Awesome] SOMEBODY@email.com",
-        "name": "Somebody Awesome"
-    },
-    {
-        "id": 1397429348,
-        "email_contact": "somebody@email.com",
-        "name": "Somebody Awesome"
-    }
-]
-```
-We can configure how strict the filter is by setting `exact` and `case_sensitive` both to False. This allows our value to be a substring of a longer string, and to ignore case (upper vs lower case).
-
-Note: Type casting is not supported at this time. We currently only support filtering by string values. e.g. `bob@mail.com` and not `12344245`.
-
-
-### Unwrap
-
-Given a path to a dict/list, returns the dict/list at that location.
-
-#### Configuration details
-
-`strategy`: unwrap
-
-`configuration`:
-
-- `data_path` (_str_): Gives the path to desired object. E.g. `exact_matches.members` will attempt to get the `members` object on the `exact_matches` object.
-
-
-#### Example
-
-Post-Processor Config:
-```yaml
-- strategy: unwrap
-  configuration:
-    data_path: exact_matches.members
-```
-
-Data to be processed:
-```json
-{
-  "exact_matches": {
-    "members": [
-      { "howdy": 123 },
-      { "meow": 841 }
-    ]
-  }
-}   
-```
-Result:
-```json
-[
-  { "howdy": 123 },
-  { "meow": 841 }
-]
-```
-
-
diff --git a/docs/fides/docs/saas_connectors/saas_rate_limiting.md b/docs/fides/docs/saas_connectors/saas_rate_limiting.md
deleted file mode 100644
index 9e0128fa54..0000000000
--- a/docs/fides/docs/saas_connectors/saas_rate_limiting.md
+++ /dev/null
@@ -1,79 +0,0 @@
-# SaaS Rate limiting
-
-Rate limits can be used to limit how fast requests can be made to saas endpoints. Rate limiting works accross Fides instances that share a Redis cluster. 
-
-A rate limit configuration can be set the within the client config for saas connectors. It can also be set within endpoint request config to override the config for specific endpoints. 
-
-## Configuration details
-- `enabled` (_bool_): *Optional.* Determines if the rate limiter is enabled. Default is true.
-- `limits` (_list([RateLimit](#rate-limit-configuration))_): *Optional.* A list of RateLimit objects which can define multiple rate limits for endpoint requests.
-
-### Rate Limit 
-- `rate` (_int_): Number of calls which are allow for the specified period
-- `period` (_str_): The time period for which to limit calls. Allows values are `second`, `minute`, `hour`, `day`.
-- `custom_key` (_str_): *Optional.* An optional key which can be used to group rate usage accross endpoints or connectors. 
-
-## Implementation details
-
-Fides implements rate limiting as a fixed window algorithm. Epoch seconds are divided into discrete buckets based on the configured period. 
-
-## Examples
-
-### Limiting Connector
-
-In this example we limit our connector to 10 TPS for all endpoints
-```yaml
-saas_config:
-  fides_key: my_connector
-
-rate_limit_config:
-    limits:
-    - rate: 10
-      period: second
-```
-
-### Disable Limit For Specific Endpoint
-
-In this example we limit our connector request rate but disable the limiter for `my_non_limited_entity` read requests.
-
-```yaml
-saas_config:
-  fides_key: my_connector
-
-  rate_limit_config:
-    limits:
-    - rate: 10
-      period: second
-
-  endpoints:
-  - name: my_non_limited_entity
-    requests:
-      read:
-        rate_limit_config:
-          enabled: false
-
-```
-
-### Shared Rate Usage Accross Connectors
-
-In this example `my_connector_1` and `my_connector_2` both contribute requests to the same time window as they share the custom key `shared_custom_key`.
-
-
-```yaml
-saas_config:
-  fides_key: my_connector_1
-
-rate_limit_config:
-    limits:
-    - rate: 10
-      period: second
-      custom_key: shared_custom_key
-
-  fides_key: my_connector_2
-
-rate_limit_config:
-    limits:
-    - rate: 10
-      period: second
-      custom_key: shared_custom_key
-```
diff --git a/docs/fides/docs/ui/connections.md b/docs/fides/docs/ui/connections.md
deleted file mode 100644
index 129f628253..0000000000
--- a/docs/fides/docs/ui/connections.md
+++ /dev/null
@@ -1,45 +0,0 @@
-# Managing Connections
-
-Connections represent connected integrations to third party applications, databases and datasets, or manual storage locations.
-
-![connections](../img/admin_ui/datastore_list.png)
-
-## Viewing Connections
-
-All currently configured connections will appear in the paginated Connections panel. Search options are available to filter the list.
-
-`Active` connections are included when fulfilling privacy requests.
-
-`Disabled` connections have their connection information saved, but are not included when privacy requests are executed.
-
-### Panel Options
-
-| Option | Description |
-|----|----|
-| Search | Retrieve a connection by name. |
-| Connection Type | Filter connections by type: SaaS, Postgres, Mongo, etc. |
-| System Type | Filter connections by system: SaaS, Database, or Manual. |
-| Testing Status | Filter stores by the result of their last test: Passed, Failed, or Untested. |
-| Status | Filter connections by status: Active or Disabled. |
-
-## Testing Connections
-
-Each configured connection includes an option to `Test` it. Fides will record the last tested time to the connections's card, and update the current connection status.
-
-`Green` connections have passed their most recent test.
-
-`Red` connections have failed.
-
-`Grey` connections have not been tested.
-
-![failed test](../img/admin_ui/failed_test.png)
-
-## Disabling and Deleting Connections
-
-Selecting the three dots menu `[...]` beside a connection will bring up `Disable` and `Delete` options for that connection.
-
-![datastore options](../img/admin_ui/datastore_options.png)
-
-Selecting either Disable or Delete will display a warning to confirm the action. Deleted connections will have their information removed entirely from Fides, while Disabled connections may be enabled again from the same menu at a later date.
-
-![delete datastore](../img/admin_ui/delete_datastore.png)
diff --git a/docs/fides/docs/ui/datasets.md b/docs/fides/docs/ui/datasets.md
deleted file mode 100644
index 0c72721087..0000000000
--- a/docs/fides/docs/ui/datasets.md
+++ /dev/null
@@ -1,78 +0,0 @@
-# Managing Datasets 
-
-The Datasets panel allows you to easily view, add, edit, and configure your existing [datasets](https://ethyca.github.io/fideslang/resources/dataset/) and their connections.
-
-## Adding a dataset 
-
-Datasets can be added to the Fides UI by connecting to your databases, or by uploading a pre-configured dataset YAML. An `empty state` label on the Datasets panel shows no datasets have been configured.
-
-To add a new dataset, select **Create new dataset** from the Datasets panel.
-
-![dataset ui](../img/admin_ui/admin_ui.png)
-
-
-You will then be given a list of options for creating your new dataset:
-
-![add a new dataset](../img/admin_ui/admin_ui_new_dataset.png)
-
-Fides provides two options for creating new datasets: [uploading a YAML file](#upload-a-dataset-yaml), or [connecting to a database](#connect-to-your-database), each of which are outlined below.
-
-### Upload a dataset YAML
-Preexisting dataset configurations can be easily uploaded using the built-in uploader. These YAML configuration files might have come from a previous [Fides installation](../getting-started/generate_resources.md), or a support engineer.
-
-To upload a new dataset, select the **Upload a new dataset YAML** option.
-
-![upload dataset YAML](../img/admin_ui/admin_ui_upload_yaml.png)
-
-Paste the context of your YAML file into the provided text box, and select **Create dataset.** Fides will upload and store your file for use with the rest of the Fides UI.
-
-### Connect to a database 
-
-To generate a dataset by connecting directly to a database, select **Connect a database using a connection URL**.
-
-![database connection](../img/admin_ui/admin_ui_db.png)
-
-You will need to provide your **database type** from the dropdown, as well as the **database URL string.** 
-
-Once the required information is entered, select **Create database**. Fides will display a success notification when the process is completed.
-
-## Load a dataset
-To view the details of an existing dataset, highlight the row of the dataset you would like to view, and select **Load dataset.** 
-
-![load a dataset](../img/admin_ui/admin_ui_load.png)
-
-Viewing a dataset gives you access to additional information and details:
-
-![view dataset](../img/admin_ui/admin_ui_dataset.png)
-
-Datasets may be modified and deleted from this window.
-
-## Modifying a dataset
-
-Datasets can be modified at both the collection (top-level) and field levels, allowing you to edit and customize your labels, descriptions, and data categories.
-
-### Modifying fields 
-
-Selecting any field will bring up a side panel where that field's information may be edited. You may edit the field's description, identifiability, and modify the data categories it belongs to.
-
-![modify fields](../img/admin_ui/admin_ui_mod_field.png)
-
-To save your changes, select **Save**, and Fides will apply them.
-
-### Modifying a collection
-The **Modify collection** button allows you to change the collection's description, identifiability, and any top-level data categories that pertain to the data it contains. 
-
-![modify collection](../img/admin_ui/admin_ui_mod_collection.png)
-
-To save your changes, select **Save**, and Fides will apply them.
-
-## Delete a dataset or field
-
-A dataset may be deleted by selecting **Modify collection**, and finding the **trash bin icon** beside the dataset's name.
-
-You will need to provide and confirm the dataset's name in order to delete it. **Deleting a dataset cannot be undone.**
-
-To delete a field, find the **trash bin icon** beside the field's name when [modifying it](#modifying-fields). Enter and confirm the field's name to delete it. **Deleting a field cannot be undone.**
-
-![delete dataset](../img/admin_ui/admin_ui_delete.png)
-
diff --git a/docs/fides/docs/ui/deployment.md b/docs/fides/docs/ui/deployment.md
deleted file mode 100644
index d214ac54d4..0000000000
--- a/docs/fides/docs/ui/deployment.md
+++ /dev/null
@@ -1 +0,0 @@
-# Deployment 
diff --git a/docs/fides/docs/ui/overview.md b/docs/fides/docs/ui/overview.md
deleted file mode 100644
index 8c8b300b63..0000000000
--- a/docs/fides/docs/ui/overview.md
+++ /dev/null
@@ -1,21 +0,0 @@
-# Fides UI
-
-Fides provides several user interfaces to assist in receiving and reviewing privacy requests, including options for managing your systems, datasets, and configuration settings. The Privacy Center and Admin UI work together to allow users to submit privacy requests, which can then be fulfilled either automatically, or by privacy administrators.
-
-## Admin UI
-The Admin UI organizes processes like fulfilling [privacy requests](privacy_requests.md), creating Fides resources, and [managing user access](user_management.md) into a single control panel. Once configured, the Admin UI allows authorized users to manage policies, [update datasets](datasets.md), and customize your Fides [taxonomy](https://ethyca.github.io/fideslang/taxonomy/overview/).
-
-![admin ui](../img/admin_ui/sr_overview.png)
-
-## Privacy Center 
-The Fides [Privacy Center](privacy_center.md) is a configurable webpage that allows your users to submit data access or deletion requests. Requests submitted through the Privacy Center are available for review in the Admin UI, and are processed according to your policy execution rules.
-
-![privacy center](../img/admin_ui/privacy_center.png)
-
-## Configuration Wizard
-The Fides [Configuration Wizard](wizard.md) provides a guided walkthrough for configuring Fides, connecting your infrastructure, and building your first data map. The Configuration Wizard covers an introduction to understanding privacy engineering fundamentals, as well as explaining Fides' terminology and resources.
-
-![config wizard](../img/admin_ui/admin_ui_wizard.png)
-
-## Access the UI
-With Fides deployed, the hosted UI is available at `http://{server_url}/` (e.g. `http://localhost:8080/`) automatically. Review your root user [configuration](../installation/configuration.md) to verify your access credentials.
diff --git a/docs/fides/docs/ui/privacy_center.md b/docs/fides/docs/ui/privacy_center.md
deleted file mode 100644
index b8ad707278..0000000000
--- a/docs/fides/docs/ui/privacy_center.md
+++ /dev/null
@@ -1,127 +0,0 @@
-# Privacy Center
-
-The Fides [Privacy Center](privacy_center.md) is a configurable webpage where users can request to download or delete their data. The Privacy Center also provides configurable consent settings for regulatory compliance, allowing users to access and edit their data use preferences.
-
-![privacy center](../img/admin_ui/privacy_center.png)
-
-## Configuration
-
-The Fides Privacy Center's text and actions are managed by a `config.json` file in the Fides `/privacy-center/config` directory.
-
-```json title="<code>config.json</code>"
-{
-  "title": "Take control of your data",
-  "description": "When you use our services, you’re trusting us with your information. We understand this is a big responsibility and work hard to protect your information and put you in control.",
-  "server_url_development": "http://localhost:8080/api/v1",
-  "server_url_production": "https://<$YOUR_SERVER_URL>/api/v1",
-  "logo_path": "/logo.svg",
-  "actions": [
-    {
-      "policy_key": "default_access_policy",
-      "icon_path": "/download.svg",
-      "title": "Access your data",
-      "description": "We will email you a report of the data related to your account.",
-      "identity_inputs": {
-        "name": "optional",
-        "email": "required",
-        "phone": "optional"
-      }
-    },
-    {
-      "policy_key": "default_erasure_policy",
-      "icon_path": "/delete.svg",
-      "title": "Erase your data",
-      "description": "We will delete all of your account data. This action cannot be undone.",
-      "identity_inputs": {
-        "name": "optional",
-        "email": "required",
-        "phone": "optional"
-      }
-    }
-  ],
-  "includeConsent": true,
-  "consent": {
-    "cookieName": "fides_consent",
-    "consentOptions": [
-      {
-        "fidesDataUseKey": "advertising",
-        "name": "Advertising / Data Sharing",
-        "description": "We may use some of your personal information for advertising performance analysis and audience modeling for ongoing advertising which may be interpreted as 'Data Sharing' under some regulations.",
-        "url": "https://example.com/privacy#advertising",
-        "default": true,
-        "highlight": false,
-        "cookieKeys": ["data_sales"]
-      },
-      {
-        "fidesDataUseKey": "improve",
-        "name": "Product Analytics",
-        "description": "We may use some of your personal information to collect analytics about how you use our products & services, in order to improve our service.",
-        "url": "https://example.com/privacy#data-sales",
-        "default": true,
-        "highlight": false,
-        "cookieKeys": ["data_sales"]
-      },
-      {
-        "name": "Analytics",
-        "fidesDataUseKey": "third_party_sharing",
-        "description": "...",
-        "url": "https://example.com/privacy#analytics",
-        "cookieKeys": ["data_sharing"]
-      },
-      {
-        "name": "Personalize",
-        "fidesDataUseKey": "personalize",
-        "default": true,
-        "url": "https://example.com/privacy#personalize",
-        "description": "...",
-        "cookieKeys": ["functional"]
-      },
-      {
-        "name": "Essential",
-        "fidesDataUseKey": "provide.service",
-        "default": true,
-        "url": "https://example.com/privacy#essential",
-        "highlight": true,
-        "description": "...",
-        "cookieKeys": ["essential"]
-      }
-    ]
-  }
-}
-```
-
-| Key | Description |
-|----|----|
-| `title` and `description` | Text fields to override the default text of either the main portal, or the associated action. |
-| `server_url_development` | The Fides server URL to use for development deployments. |
-| `server_url_production` | The Fides server URL to use for production deployments. |
-| `logo_path` | The relative path to a brand or site logo to replace the default. |
-| `actions` | A list of [action objects](#actions), each of which represent a new tile available in the portal, and are associated to a single Fides policy. |
-| `policy_key` | The key of the [policy](../guides/policies.md) to use for this action. |
-| `icon_path` | The relative path of an icon to replace the defaults. |
-| `identity_inputs` | The list of personally identifiable information required by an action. |
-
-### Actions
-
-Actions represent available privacy rights executable from the Privacy Center. The provided `config.json` includes Download and Delete default, representing common requests to access or remove data under most privacy regulations. Each action is associated with a Fides [policy key](../guides/policy_webhooks.md), which defines the policy executed when the DSR is approved.
-
-Additional actions can be added to this list, and removed at any time.
-
-### Consent
-To provide compliancy with local and internal regulations, you may define a series of [data uses](https://ethyca.github.io/fideslang/taxonomy/data_uses/) in your Privacy Center configuration. This list of data uses will allow users to configure their personal privacy preferences, which will be stored as a cookie.
-
-![manage consent](../img/admin_ui/manage_consent.png)
-
-| Key | Description |
-|----|----|
-| `includeConsent` | Where or not the consent options are enabled. |
-| `cookieName` | The name of the stored cookie. |
-| `title` and `description` | Text fields to override the default text of the associated consent option. |
-| `url` | The URL where a user can find additional information about this data use. |
-| `default` | If this consent preference is enabled (true) or disabled (false) by default. |
-| `highlight` | Whether or not this consent preference is highlighted. |
-| `cookieKeys` | The data use represented within your stored cookie. |
-
-### Styling
-
-Any overrides for CSS styling can be included in a `config.css` file in the `/privacy-center/config` directory.
diff --git a/docs/fides/docs/ui/privacy_requests.md b/docs/fides/docs/ui/privacy_requests.md
deleted file mode 100644
index b70f3be5cf..0000000000
--- a/docs/fides/docs/ui/privacy_requests.md
+++ /dev/null
@@ -1,50 +0,0 @@
-# Privacy Requests
-
-The Fides Admin UI is designed to provide at-a-glance access to submitted privacy requests. The Privacy Request panel provides search and sort capabilities, quick approve and deny functions, and in-depth details on individual request histories and statuses.
-
-![privacy requests](../img/admin_ui/sr_overview.png)
-
-### Panel options
-
-| Option | Description |
-|----|----|
-| Status | Requests can be filtered by their current status: **Error**, **Denied**, **In Progress**, **New**, **Canceled**, and **Complete**.|
-| Search | The search bar filters on a given field: status, reviewer, etc. |
-| Date Filter | Retrieve requests received within a certain date window. |
-| Reveal PII | Toggling **Reveal PII** will display all personal information for the shown requests. |
-| Download | Download a `.csv` of the shown requests. |
-| Clear | Remove all search options and filters. |
-
-### Request information
-| Option | Description |
-|----|----|
-| Status | The request's current status. |
-| Days Left | The number of days remaining to fullfil the subject request, according to compliance policies and regulations. This is configured on your [execution policy](../getting-started/execution_policies.md) as `execution_timeframe`. |
-| Policy Name | The name of the [execution policy](../getting-started/execution_policies.md) used for this request. |
-| Subject Identity | Subject information. Hidden if **Reveal PII** is not selected. |
-| Time Received | The time the request was first received. |
-| Reviewed By | The system user that reviewed the request. |
-| Options [...] | Approve and Deny options for the request. |
-
-## Approve or deny requests
-
-![approve or deny requests](../img/admin_ui/approve_deny.png)
-
-Hovering over a request row will provide access to the **approve** and **deny** options for that request.
-
-**Approving** a request will log the action, the approver's account, and begin the process of executing the request based on the associated [policy](../guides/policies.md).
-
-**Denying** a request allows the user to input a denial reason before confirming the action.
-
-![request denial](../img/admin_ui/request_denial.png)
-
-## View request details
-
-![privacy request details](../img/admin_ui/subject_request_details.png)
-Double-clicking a request row will display the request detail page, which allows access to additional information about the request, including the request ID, request type, and current status.
-
-Requests with a status of **Error** can also be retried from this panel by selecting the **Retry** button.
-
-The bottom of the Request Details panel displays the selected request's full event history. Selecting **View Details** on any event displays a summary of the event. **View Log** displays a detailed event log, which includes Fides' traversal through third-party connections and collections.
-
-![privacy request log](../img/admin_ui/subject_request_log.png)
diff --git a/docs/fides/docs/ui/systems.md b/docs/fides/docs/ui/systems.md
deleted file mode 100644
index c5ef48aed0..0000000000
--- a/docs/fides/docs/ui/systems.md
+++ /dev/null
@@ -1,49 +0,0 @@
-# System Management
-
-Fides [Systems](https://ethyca.github.io/fideslang/resources/system/) describe any services that store or process data for your organization, including third-party APIs and services. Systems differ from [datastores](./datastores.md) in that they do not represent a third-party connection, but instead allow you to define your tech stack and infrastructure for reporting and data mapping.
-
-![system management](../img/admin_ui/system_management.png)
-
-## Add a System
-Systems may be added in two ways: by pasting a System YAML declaration provided by a support engineer or generated by the [command line interface](../getting-started/generate_resources.md), or by walking through the step-by-step manual generation process.
-
-To begin adding a new System, select **Create New System** from the System Management panel.
-
-### Via a System YAML
-To add a System via YAML, select **Upload a new system YAML**.
-
-![add a system via yaml](../img/admin_ui/add_a_system.png)
-
-You will be provided a text box to paste your YAML file into. Once, done, select **Create system**, and your System will be added to the Management panel.
-
-### Via manual generation
-To add a System via manual generation, select **Manually generate a system**.
-
-#### Describe your system
-You will be asked to describe certain characteristics about your system. To learn more information about any field, hover over the question mark (**?**). 
-
-![add a system manually](../img/admin_ui/add_system_manually.png)
-
-#### Declare your system
-System declarations represent classifications and descriptions defined by the [Fides Language](https://ethyca.github.io/fideslang/). 
-
-![declare system](../img/admin_ui/describe_system.png)
-
-#### Review your system
-Once finished, you will be asked to confirm your system's declarations before registering it. To change any information, click on the **Describe** or **Declare** links on the left-hand column to return to each section.
-
-Select **Confirm and Register** to save your completed system.
-
-## Edit your Systems 
-
-To edit existing information about any system, select the options menu (**...**) for a given system, and select **Edit**.
-
-![edit a system](../img/admin_ui/edit_system.png)
-
-You will be prompted to review the Describe and Declare sections of system generation, and edit or update any information pertaining to your system.
-
-## Delete your Systems 
-
-To edit existing information about any system, select the options menu (**...**) for a given system, and select **Delete**.
-
-![delete system](../img/admin_ui/delete_system.png)
diff --git a/docs/fides/docs/ui/user_management.md b/docs/fides/docs/ui/user_management.md
deleted file mode 100644
index 36a3201c21..0000000000
--- a/docs/fides/docs/ui/user_management.md
+++ /dev/null
@@ -1,35 +0,0 @@
-# User Management
-
-Fides users can be managed from the built-in control panel to create new accounts, and organize individual account access and permissions..
-
-## Managing Users from the UI
-
-The User Management panel displays a view of all users within the system, and provides a search bar for retrieving users by username.
-
-### Creating New Users
-
-The `Add New User` button will walk through creating a new user.
-
-### Managing User Privileges
-
-New users can be created with a series of privileges, or permissions, to allow or restrict their access to individual parts of your Fides configuration.
-
-#### Privileges
-
-Privileges represent individual user permissions. Ensure each user is created with the permissions applicable for their role.
-
-| Privilege | Description |
-|----|----|
-| View connections | Allows the user to view, but not edit, any existing connections to your datastores. |
-| Create or update connections | Allows the user to create new connections, and update existing connections. |
-| Delete connections | Allows the user to delete existing connections, removing them entirely from Fides. |
-| View policies | Allows the user to view existing Fides policies. |
-| Create policies | Allows the user to create new Fides policies. |
-| View users | Allows the user to view the User Management panel. |
-| Create users | Allows the user to create new users from the User Management panel. ||
-| View roles | Allows the user to view, but not edit, existing roles. |
-| Create roles | Allows the user to create new roles. |
-
-### Editing Existing Users
-
-Existing users can be edited by selecting the "Edit" button from the side of the user row. Users may also be deleted from this drop-down menu. Note that an individual's username may not be changed.
diff --git a/docs/fides/docs/ui/wizard.md b/docs/fides/docs/ui/wizard.md
deleted file mode 100644
index 36d1262081..0000000000
--- a/docs/fides/docs/ui/wizard.md
+++ /dev/null
@@ -1,55 +0,0 @@
-# Configuration Wizard
-
-The Configuration Wizard is designed to simplify Fides setup. Along with building your first data map, using the Config Wizard will provide you with a step-by-step introduction to both privacy engineering fundamentals and Fides terminology.
-
-To get started, select **Config Wizard** from the Admin UI navigation bar.
-
-## Step 1: Add your business or organization
-
-![add an organization](../img/admin_ui/config_wizard_step1.png)
-
-Organization or business information is used to build your [data map](../guides/generate_datamaps.md) for reporting purposes. Your organization name must be provided, along with a description of the company.
-
-## Step 2: Add a system
-
-![add a system](../img/admin_ui/config_wizard_step2.png)
-
-**Systems** are anything that might store or process data in your information, and represent the building blocks of your data map. These might include web applications, databases, and data warehouses.
-
-Systems can be added with automated scanning tools, or manually.
-
-### Automatic scans
-Scanning allows you to connect to either your AWS cloud infrastructure or your Okta instance and automatically identify systems that should be on your data map. Support for additional systems (e.g. Google, Microsoft Azure, Digital Ocean) is planned shortly.
-### Add a system manually
-Systems can be added manually by entering information about them directly. Manual system creation allows you to include information not easily scannable by Fides in your data map.
-## Step 3: Scan your resources
-
-![scan your resources](../img/admin_ui/config_wizard_step3.png)
-
-Authentication credentials must be provided for Fides to connect to your cloud infrastructure or sign-on provider. These credentials will be used to create a list of all systems that may contain personal data.
-
-### Authenticate with AWS
-To authenticate with AWS, you must provide an Access Key ID, associated secret, and the AWS region your infrastructure is located in. Fides should be granted enough permissions to scan your AWS resources via an appropriate IAM policy.
-
-### Authenticate with Okta
-Fides requires a token to authenticate with Okta. You can find [instructions here](https://help.okta.com/oie/en-us/Content/Topics/Security/API.htm) on how to retrieve a suitable token from your Okta administration panel.
-
-## Step 4: View your results
-
-![view your results](../img/admin_ui/config_wixard_step4.png)
-
-Once your systems have been scanned and your resources added, you will be provided with a list of all the systems found which might contain personal data. 
-
-Individual systems can be kept and registered by selecting their associated check box. To register all systems, select the checkbox at the top of the list.
-
-## Step 5: Describe your systems
-
-![describe your systems](../img/admin_ui/config_wizard_step5.png)
-
-Describing your systems involves **declaring their privacy characteristics.** This description includes what data is being stored, how the data is being processed, and for what purpose the data is being kept.
-
-You can add multiple declarations, and will have the opportunity to review the information you've provided before registering the system with Fides. 
-## Step 6: View your data map
-Congratulations! You have now provided everything Fides needs to build a data map of your systems and resources. From here, you can extend this map by scanning and adding additional systems.
-
-![view your datamap](../img/admin_ui/config_wizard_step6.png)
\ No newline at end of file
diff --git a/docs/fides/mkdocs.yml b/docs/fides/mkdocs.yml
index 86a5b07749..5b487bb5ab 100644
--- a/docs/fides/mkdocs.yml
+++ b/docs/fides/mkdocs.yml
@@ -10,97 +10,30 @@ edit_uri: blob/main/docs/fides/docs/
 nav:
   - Fides:
       - What is Fides?: index.md
-      - Installation:
-        - Overview: installation/overview.md
-        - Requirements: installation/requirements.md
-        - PyPI: installation/pypi.md
-        - Docker: installation/docker.md
-        - Configuration: installation/configuration.md
-      - Get Started with DSR Automation:
-          - Sample Fides Application: getting-started/sample_project.md
-          - Basic Setup: dsr_quickstart/basic_setup.md
-          - Environment Configuration: dsr_quickstart/environment_configuration.md
-          - Configure Connectors: dsr_quickstart/configure_connectors.md
-          - Connect Databases: dsr_quickstart/connect_databases.md
-          - Customize the Privacy Center: dsr_quickstart/privacy_center.md
-          - Process a DSR: dsr_quickstart/dsr_processing.md
-      - Understanding Privacy Requests:
-          - Connect to Databases: getting-started/database_connectors.md
-          - Generate Resources: getting-started/generate_resources.md
-          - Create Datasets: getting-started/datasets.md
-          - Configure Storage Destinations: getting-started/storage.md
-          - Create Execution Policies: getting-started/execution_policies.md
-          - Execute Privacy Requests: getting-started/privacy_requests.md
-      - In-Depth Guides:
-          - Authenticate with OAuth: guides/oauth.md
-          - Create Policies: guides/policies.md
-          - Extend the Taxonomy: guides/extend_taxonomy.md
-          - Generate Data Maps: guides/generate_datamaps.md
-          - Configure Messaging: guides/messaging.md
-          - View Available Connection Types: guides/connection_types.md
-          - Annotate Complex Fields: guides/complex_fields.md
-          - Configure Data Masking: guides/masking_strategies.md
-          - Execution Policy Webhooks: guides/policy_webhooks.md
-          - Report on Privacy Requests: guides/reporting.md
-          - Preview Query Execution: guides/query_execution.md
-          - Data Rights Protocol: guides/data_rights_protocol.md
-          - Configure Manual Webhooks: guides/manual_webhooks.md
-          - Understanding Privacy Request Execution: guides/request_execution.md
-      - SaaS Connectors:
-          - Connect to SaaS Applications: saas_connectors/saas_connectors.md
-          - SaaS Configuration: saas_connectors/saas_config.md
-          - SaaS OAuth2 Configuration: saas_connectors/saas_oauth2.md
-          - SaaS Post-Processors: saas_connectors/saas_postprocessors.md
-          - SaaS Pagination: saas_connectors/saas_pagination.md
-          - SaaS Rate Limiting: saas_connectors/saas_rate_limiting.md
-          - Connection Examples:
-              - Adobe Campaign: saas_connectors/example_configs/adobe.md
-              - Hubspot: saas_connectors/example_configs/hubspot.md
-              - Mailchimp: saas_connectors/example_configs/mailchimp.md
-              - Outreach: saas_connectors/example_configs/outreach.md
-              - Salesforce: saas_connectors/example_configs/salesforce.md
-              - Segment: saas_connectors/example_configs/segment.md
-              - Sendgrid: saas_connectors/example_configs/sendgrid.md
-              - Sentry: saas_connectors/example_configs/sentry.md
-              - Stripe: saas_connectors/example_configs/stripe.md
-              - Zendesk: saas_connectors/example_configs/zendesk.md
-      - CI/CD Integrations: cicd.md
-      - Deployment: deployment.md
-      - Glossary: glossary.md
       - API: api/index.md
       - CLI: cli.md
       - Community:
-        - Github, Slack, and Discord: community/overview.md
-        - Community Hints and Tips: community/hints_tips.md
-        - Code of Conduct: community/code_of_conduct.md
-        - Contributing:
-            - Overview: development/overview.md
-            - Contributing Details: development/contributing_details.md
-            - Code Style: development/code_style.md
-            - UI Development: development/ui.md
-            - Fideslog Analytics: development/fideslog.md
-            - Database Migration: development/database_migration.md
-            - Documentation: development/documentation.md
-            - Writing Tests: development/testing.md
-            - Testing Environment: development/testing_environment.md
-            - Local Fides Deploy: development/dev_deployment.md
-            - Pull Requests: development/pull_requests.md
-            - Releases: development/releases.md
-            - Release Checklist: development/release_checklist.md
-            - VSCode Debugging: development/vscode_debugging.md
-            - Jetbrains Debugging: development/jetbrains_debugging.md
-            - Using Postman: development/postman/using_postman.md
-            - Updating the Database Diagram: development/update_erd_diagram.md
-  - Fides UI:
-      - Overview: ui/overview.md
-      - Configuration Wizard: ui/wizard.md
-      - Privacy Requests: ui/privacy_requests.md
-      - Manage Datasets: ui/datasets.md
-      - Manage Connections: ui/connections.md
-      - Manage Users: ui/user_management.md
-      - Privacy Center:  ui/privacy_center.md
-      - Deployment: ui/deployment.md
-  - Fides Lang Docs: https://ethyca.github.io/fideslang/
+          - Github, Slack, and Discord: community/overview.md
+          - Community Hints and Tips: community/hints_tips.md
+          - Code of Conduct: community/code_of_conduct.md
+          - Contributing:
+              - Overview: development/overview.md
+              - Contributing Details: development/contributing_details.md
+              - Code Style: development/code_style.md
+              - UI Development: development/ui.md
+              - Fideslog Analytics: development/fideslog.md
+              - Database Migration: development/database_migration.md
+              - Documentation: development/documentation.md
+              - Writing Tests: development/testing.md
+              - Testing Environment: development/testing_environment.md
+              - Local Fides Deploy: development/dev_deployment.md
+              - Pull Requests: development/pull_requests.md
+              - Releases: development/releases.md
+              - Release Checklist: development/release_checklist.md
+              - VSCode Debugging: development/vscode_debugging.md
+              - Jetbrains Debugging: development/jetbrains_debugging.md
+              - Using Postman: development/postman/using_postman.md
+              - Updating the Database Diagram: development/update_erd_diagram.md
   - About Ethyca:
       - About Ethyca: ethyca.md
       - License: license.md