From b15205307d595d706756813db007aaeff5353ac2 Mon Sep 17 00:00:00 2001 From: Colleen Kerr Date: Fri, 7 Jun 2024 13:24:03 -0400 Subject: [PATCH 1/6] add setup info for additional CDI Segments sources --- .../cloud_ingestion/connected_sources.md | 252 +++++++++++++++++- .../cloud_ingestion/connected_source_3.png | Bin 0 -> 95539 bytes .../cloud_ingestion/connected_source_bq_1.png | Bin 0 -> 196079 bytes .../cloud_ingestion/connected_source_db_1.png | Bin 0 -> 176601 bytes .../cloud_ingestion/connected_source_rs_1.png | Bin 0 -> 215020 bytes 5 files changed, 249 insertions(+), 3 deletions(-) create mode 100644 assets/img/cloud_ingestion/connected_source_3.png create mode 100644 assets/img/cloud_ingestion/connected_source_bq_1.png create mode 100644 assets/img/cloud_ingestion/connected_source_db_1.png create mode 100644 assets/img/cloud_ingestion/connected_source_rs_1.png diff --git a/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md b/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md index deee92d3d32..abac64c8663 100644 --- a/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md +++ b/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md @@ -14,7 +14,7 @@ page_type: reference Once a connected source is added to your Braze workspace, you can create a CDI segment within Segment Extensions. CDI Segments lets you write SQL that directly queries on your own data warehouse (using data there that’s made available via your CDI Connected Source), and creates and maintains a group of users that can be targeted within Braze. {% alert update %} -Note that this feature is currently in Early Access and available only for Snowflake sources. +Note that this feature is currently in Early Access for BigQuery, Databricks, Redshift, and Snowflake {% endalert %} {% alert important %} @@ -36,6 +36,33 @@ A connected source may reference one or more tables, so the user created for Bra 4. Test the integration 5. Use the connected source to create one or more CDI Segments {% endtab %} + +{% tab Redshift %} +1. Set up the source data and required resources in your Redshift environment +2. Create a new connected source in the Braze dashboard +4. Test the integration +5. Use the connected source to create one or more CDI Segments +{% endtab %} + +{% tab BigQuery %} +1. Set up the source data and required resources in your BigQuery environment +2. Create a service account and allow access to the BigQuery project(s) and dataset(s) that contain the data you want to sync. +3. Create a new connected source in the Braze dashboard +4. Test the integration +5. Use the connected source to create one or more CDI Segments +{% endtab %} + +{% tab Databricks %} +1. Set up the source data and required resources in your Databricks environment +2. Create a service account and allow access to the Databricks project(s) and dataset(s) that contain the data you want to sync. +3. Create a new connected source in the Braze dashboard +4. Test the integration +5. Use the connected source to create one or more CDI Segments +{% alert important %} +There may be two to five minutes of warm-up time when Braze connects to Classic and Pro SQL instances, which will lead to delays during connection setup and testing, as well as during CDI Segment creation and refresh. Using a serverless SQL instance will minimize warmup time and improve query throughput, but may result in slightly higher integration costs. +{% endalert %} +{% endtab %} + {% endtabs %} ### Create a role and grant permissions @@ -48,7 +75,7 @@ Create a role for your connected source to use. This role will be used to genera You may choose to grant access to all tables in a schema, or grant privileges only to specific tables. Whichever tables the Braze role has access to will be available to query in the CDI segment. -Create table permisison is required because Braze will create a table with your CDI Segment query results before updating the segment in Braze. We will create one table per segment, and the same table will be recreated each time the segment is refreshed. +Create table permisison is required because Braze will create a table with your CDI Segment query results before updating the segment in Braze. We will create a temporary table per segment, and the table will only persist while Braze is updating the segment. ```json CREATE ROLE BRAZE_INGESTION_ROLE; @@ -107,6 +134,127 @@ Depending on the configuration of your Snowflake account, you may need to allow | `18.205.178.15`| `3.68.144.188` | | `3.70.107.88` {% endtab %} + +{% tab Redshift %} + +#### Step 1: Create user and grant permissions + +```json +CREATE USER braze_user PASSWORD '{password}'; +GRANT USAGE ON SCHEMA BRAZE_CLOUD_PRODUCTION.INGESTION to braze_user; +GRANT CREATE ON SCHEMA BRAZE_CLOUD_PRODUCTION.INGESTION to braze_user; +GRANT SELECT ON TABLE USERS_ATTRIBUTES_SYNC TO braze_user; +``` + +Create a user for your connected source to use. This user will be used to generate the list of tables available in your CDI segments, and to query source tables to create new segments. Once the connected source is created, Braze will discover the names and description of all tables available to the user in the source schema. If creating multiple CDI integrations, you may want to grant permissions to a schema or manage permissions using a group. + +You may choose to grant access to all tables in a schema, or grant privileges only to specific tables. Whichever tables the Braze role has access to will be available to query in the CDI segment. Be sure to grant access to any new tables to the user when they're created, or set default permissions for the user. + +Create table permisison is required because Braze will create a table with your CDI Segment query results before updating the segment in Braze. We will create a temporary table per segment, and the table will only persist while Braze is updating the segment. + + +#### Step 2: Allow access to Braze IPs + +If you have a firewall or other network policies, you must give Braze network access to your Redshift instance. Allow access from the below IPs corresponding to your Braze dashboard's region. + +{% alert important %} +You may also need to change your security groups to allow Braze to access your data in Redshift. Make sure to explicitly allow inbound traffic on the IPs below and on the port used to query your Redshift cluster (default is 5439). You should explicitly allow Redshift TCP connectivity on this port even if the inbound rules are set to "allow all". In addition, it is important that the endpoint for the Redshift cluster be publicly accessible in order for Braze to connect to your cluster. + +If you won't want your Redshift cluster to be publicly accessible, you can set up a VPC and EC2 instance to use an ssh tunnel to access the Redshift data. [Check out this AWS Knowledge Center post for more information.](https://repost.aws/knowledge-center/private-redshift-cluster-local-machine) +{% endalert %} + +| For Instances `US-01`, `US-02`, `US-03`, `US-04`, `US-05`, `US-06`, `US-07` | For Instances `EU-01` and `EU-02` | +|---|---| +| `23.21.118.191`| `52.58.142.242` +| `34.206.23.173`| `52.29.193.121` +| `50.16.249.9`| `35.158.29.228` +| `52.4.160.214`| `18.157.135.97` +| `54.87.8.34`| `3.123.166.46` +| `54.156.35.251`| `3.64.27.36` +| `52.54.89.238`| `3.65.88.25` +| `18.205.178.15`| `3.68.144.188` +| | `3.70.107.88` + +{% endtab %} + +{% tab BigQuery %} + +#### Step 1: Create a Service Account and grant permissions + +Create a service account in GCP for Braze to use to connect and read data from your table(s). The service account should have the below permissions: + +- **BigQuery Connection User:** This will allow Braze to make connections +- **BigQuery User:** This will provide Braze access to run queries, read dataset metadata, and list tables. +- **BigQuery Data Viewer:** This will provide Braze access to view datasets and their contents. +- **BigQuery Job User:** This will provide Braze access to run jobs +- **bigquery.tables.create** This will provide Braze access to create temporary tables during segment refresh + +Create a service account for your connected source to use. This user will be used to generate the list of tables available in your CDI segments, and to query source tables to create new segments. Once the connected source is created, Braze will discover the names and description of all tables available to the user in the source schema. + +You may choose to grant access to all tables in a dataset, or grant privileges only to specific tables. Whichever tables the Braze role has access to will be available to query in the CDI segment. + +Create table permisison is required because Braze will create a table with your CDI Segment query results before updating the segment in Braze. We will create a temporary table per segment, and the table will only persist while Braze is updating the segment. + +After creating the service account and granting permissions, generate a JSON key. See more information on how to do this [here](https://cloud.google.com/iam/docs/keys-create-delete). You will update this to the Braze dashboard later. + + + +#### Step 2: Allow access to Braze IPs + +If you have network policies in place, you must give Braze network access to your Big Query instance. Allow access from the below IPs corresponding to your Braze dashboard's region. + +| For Instances `US-01`, `US-02`, `US-03`, `US-04`, `US-05`, `US-06`, `US-07` | For Instances `EU-01` and `EU-02` | +|---|---| +| `23.21.118.191`| `52.58.142.242` +| `34.206.23.173`| `52.29.193.121` +| `50.16.249.9`| `35.158.29.228` +| `52.4.160.214`| `18.157.135.97` +| `54.87.8.34`| `3.123.166.46` +| `54.156.35.251`| `3.64.27.36` +| `52.54.89.238`| `3.65.88.25` +| `18.205.178.15`| `3.68.144.188` +| | `3.70.107.88` + +{% endtab %} + +{% tab Databricks %} + +#### Step 1: Create a Access Token + +In order for Braze to access Databricks, a personal access token needs to be created. + +1. In your Databricks workspace, click your Databricks username in the top bar, and then select **User Settings** from the drop-down. +2. Make sure the service account has `CREATE TABLE` priviliges on the schema used for the connected souce. +3. On the Access tokens tab, click **Generate new token**. +4. Enter a comment that helps you to identify this token, such as "Braze CDI", and change the token’s lifetime to no lifetime by leaving the Lifetime (days) box empty (blank). +5. Click **Generate**. +6. Copy the displayed token, and then click **Done**. + +This token will be used to generate the list of tables available in your CDI segments, and to query source tables to create new segments. Once the connected source is created, Braze will discover the names and description of all tables available to the user in the source schema. + +You may choose to grant access to all tables in a schema, or grant privileges only to specific tables. Whichever tables the Braze role has access to will be available to query in the CDI segment. + +Create table permisison is required because Braze will create a table with your CDI Segment query results before updating the segment in Braze. We will create a temporary table per segment, and the table will only persist while Braze is updating the segment. + +Keep the token in a safe place until you need to enter it on the Braze dashboard during the credential creation step. + +#### Step 2: Allow access to Braze IPs + +If you have network policies in place, you must give Braze network access to your Databricks instance. Allow access from the below IPs corresponding to your Braze dashboard's region. + +| For Instances `US-01`, `US-02`, `US-03`, `US-04`, `US-05`, `US-06`, `US-07` | For Instances `EU-01` and `EU-02` | +|---|---| +| `23.21.118.191`| `52.58.142.242` +| `34.206.23.173`| `52.29.193.121` +| `50.16.249.9`| `35.158.29.228` +| `52.4.160.214`| `18.157.135.97` +| `54.87.8.34`| `3.123.166.46` +| `54.156.35.251`| `3.64.27.36` +| `52.54.89.238`| `3.65.88.25` +| `18.205.178.15`| `3.68.144.188` +| | `3.70.107.88` +{% endtab %} + {% endtabs %} ### Create a new connected source in the Braze dashboard @@ -150,6 +298,91 @@ ALTER USER BRAZE_INGESTION_USER SET rsa_public_key='{INSERT_YOUR_KEY}'; Once you have added the key to the user in Snowflake, select **Test Connection** in Braze, and then select **Done**. Your connected source is now created and ready to use in CDI Segments. {% endtab %} + +{% tab Redshift %} +Go to **Data Settings** > **Cloud Data Ingestion**. Navigate to the **Connected Sources** tab and click **Create data connection**. + +{% alert note %} +If you are using the [older navigation]({{site.baseurl}}/navigation), go to **Cloud Data Ingestion** under **Data**. +{% endalert %} + +#### Step 1: Add Redshift connection information and source table +Input the information for your Redshift account and source schema, then proceed to the next step. + +![]({% image_buster /assets/img/cloud_ingestion/connected_source_rs_1.png %}) + +#### Step 2: Configure sync details +Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. + +Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when we are creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. + +{% alert note %} +If queries are consistently timing out and you have set a maximum runtime of 60 minutes, consider trying to optimize your query execution time. +{% endalert %} + +![]({% image_buster /assets/img/cloud_ingestion/connected_source_sf_2.png %}) + + +#### Step 3: Test Connection +Select **Test Connection** in Braze to verify that the list of tables visible to the user is what you expect, select **Done**. Your connected source is now created and ready to use in CDI Segments. + +![]({% image_buster /assets/img/cloud_ingestion/connected_source3.png %}) + + +{% endtab %} + +{% tab BigQuery %} + + +#### Step 1: Add BigQuery connection information and source dataset +Upload the JSON key and provide a name for the service account, then input the details of your source dataset. + +![]({% image_buster /assets/img/cloud_ingestion/connected_source_bq_1.png %}) + +#### Step 2: Configure sync details +Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. + +Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when we are creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. + +{% alert note %} +If queries are consistently timing out and you have set a maximum runtime of 60 minutes, consider trying to optimize your query execution time. +{% endalert %} + +![]({% image_buster /assets/img/cloud_ingestion/connected_source_sf_2.png %}) + + +#### Step 3: Test Connection +Select **Test Connection** in Braze to verify that the list of tables visible to the user is what you expect, select **Done**. Your connected source is now created and ready to use in CDI Segments. + +![]({% image_buster /assets/img/cloud_ingestion/connected_source_3.png %}) + +{% endtab %} + +{% tab Databricks %} + +#### Step 1: Add Databricks connection information and source dataset +Input the information for your Databricks data warehouse and source data, then proceed to the next step. + +![]({% image_buster /assets/img/cloud_ingestion/connected_source_db_1.png %}) + +#### Step 2: Configure sync details +Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. + +Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when we are creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. + +{% alert note %} +If queries are consistently timing out and you have set a maximum runtime of 60 minutes, consider trying to optimize your query execution time. +{% endalert %} + +![]({% image_buster /assets/img/cloud_ingestion/connected_source_sf_2.png %}) + + +#### Step 3: Test Connection +Select **Test Connection** in Braze to verify that the list of tables visible to the user is what you expect, select **Done**. Your connected source is now created and ready to use in CDI Segments. + +![]({% image_buster /assets/img/cloud_ingestion/connected_source_3.png %}) +{% endtab %} + {% endtabs %} {% alert note %} @@ -163,11 +396,24 @@ You may set up multiple integrations with Braze, but each integration should be If you reuse the same user and role across integrations, you will not need to add the public key again. {% endtab %} + +{% tab Redshift %} +You may set up multiple sources with Braze, but each source should be configured to connect a different schema. When creating additional sources, you may reuse existing credentials if connecting to the same Redshift account. +{% endtab %} + +{% tab BigQuery %} +You may set up multiple sources with Braze, but each source should be configured to connect a different dataset. When creating additional sources, you may reuse existing credentials if connecting to the same BigQuery account. +{% endtab %} + +{% tab Databricks %} +You may set up multiple sources with Braze, but each source should be configured to connect a different schema. When creating additional sources, you may reuse existing credentials if connecting to the same Databricks account. +{% endtab %} + {% endtabs %} ## Using the connected source Once the source is created, it can be used to create one or more CDI Segments. For more information on creating a segment with this source, see the [CDI Segments documentation]({{site.baseurl}}/user_guide/engagement_tools/segments/segment_extension/cdi_segments/). {% alert note %} -If queries are consistently timing out and you have set a maximum runtime of 60 minutes, consider trying to optimize your query execution time or dedicating a larger warehouse to the Braze user. +If queries are consistently timing out and you have set a maximum runtime of 60 minutes, consider trying to optimize your query execution time or dedicating more compute resources (e.g., a larger warehouse) to the Braze user. {% endalert %} diff --git a/assets/img/cloud_ingestion/connected_source_3.png b/assets/img/cloud_ingestion/connected_source_3.png new file mode 100644 index 0000000000000000000000000000000000000000..9122dac4f069dae72e32156eea4034b50b63a2f2 GIT binary patch literal 95539 zcmeFZhg%fOw=PT)6-7i51Vj)dDM7Lf86?Ayb5e2!VHk2&$$2CP$vG#UtAXTxR22oOdq?1EezXT 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tdV2D3INaLZoktkCRlc!4lu6x*e55+meCkyb9D4=$lap4KDv~e>_+RK$-(>&* literal 0 HcmV?d00001 From a9a486047aa9e2e81aa5f0c40c1e84a3bad61c4e Mon Sep 17 00:00:00 2001 From: Colleen Kerr Date: Fri, 7 Jun 2024 13:32:56 -0400 Subject: [PATCH 2/6] update CDI Segments docs --- .../cloud_ingestion/connected_sources.md | 3 +++ .../segments/segment_extension/cdi_segments.md | 10 +++++----- 2 files changed, 8 insertions(+), 5 deletions(-) diff --git a/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md b/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md index abac64c8663..04df3981c46 100644 --- a/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md +++ b/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md @@ -13,6 +13,9 @@ page_type: reference Once a connected source is added to your Braze workspace, you can create a CDI segment within Segment Extensions. CDI Segments lets you write SQL that directly queries on your own data warehouse (using data there that’s made available via your CDI Connected Source), and creates and maintains a group of users that can be targeted within Braze. +For more information on creating a segment with this source, see the [CDI Segments documentation]({{site.baseurl}}/user_guide/engagement_tools/segments/segment_extension/cdi_segments/). + + {% alert update %} Note that this feature is currently in Early Access for BigQuery, Databricks, Redshift, and Snowflake {% endalert %} diff --git a/_docs/_user_guide/engagement_tools/segments/segment_extension/cdi_segments.md b/_docs/_user_guide/engagement_tools/segments/segment_extension/cdi_segments.md index 3c41c17c364..535bf13c040 100644 --- a/_docs/_user_guide/engagement_tools/segments/segment_extension/cdi_segments.md +++ b/_docs/_user_guide/engagement_tools/segments/segment_extension/cdi_segments.md @@ -14,16 +14,16 @@ description: "This how-to article will walk you through how to set up Location t > With Braze [Cloud Data Ingestion]({{site.baseurl}}/user_guide/data_and_analytics/cloud_ingestion/overview/) (CDI), you can set up a direct connection from your data warehouse or file storage system to Braze to sync relevant user or catalog data on a recurring basis. {% alert note %} -CDI segments is currently in early access and is available only for customers with Snowflake CDI integrations. +CDI segments is currently in early access and is available for BigQuery, Databricks, Redshift, and Snowflake. {% endalert %} -To use your data warehouse data for segmentation within your Braze workspace, create a CDI segment within your [segment extensions]({{site.baseurl}}/user_guide/engagement_tools/segments/segment_extension/). CDI segments allow you to write SQL that directly queries your own data warehouse by using data made available via your CDI connections, and create a group of users that can be targeted within Braze. +To use your data warehouse data for segmentation within your Braze workspace, first create a [Connected Source]({{site.baseurl}}/user_guide/data_and_analytics/cloud_ingestion/connected_sources/), and then create a CDI segment within your [segment extensions]({{site.baseurl}}/user_guide/engagement_tools/segments/segment_extension/). CDI segments allow you to write SQL that directly queries your own data warehouse by using data made available via your CDI connections, and create a group of users that can be targeted within Braze. This feature queries your data warehouse directly, so you will incur all costs associated with running these queries in your data warehouse. It won't consume [SQL segment credits]({{site.baseurl}}/user_guide/engagement_tools/segments/sql_segments/#monitoring-your-sql-segments-usage) or data points. -## Setting up CDI ingestion +## Setting up CDI source -Set up a new Connection Sync with Snowflake by following the steps in [Data warehouse integrations]({{site.baseurl}}/user_guide/data_and_analytics/cloud_ingestion/integrations/). +Before creating your first CDI Segment, set up a new Connected Source with your data warehouse by following the steps in [Connected Sources]({{site.baseurl}}/user_guide/data_and_analytics/cloud_ingestion/connected_sources/). ## Creating a CDI segment @@ -54,4 +54,4 @@ Check out [SQL Segment Extensions]({{site.baseurl}}/user_guide/engagement_tools/ ## Troubleshooting - Your query might timeout when it reaches your maximum runtime, which is set up for each connection sync on the **Cloud Data Ingestion** page. The maximum runtime allowed is 60 minutes. -- Make sure your SQL is written using [Snowflake syntax](https://docs.snowflake.com/en/sql-reference/). \ No newline at end of file +- Make sure your SQL is written using appropriate syntax for your data warehouse. \ No newline at end of file From 42ac3b51087939e6c3cc1a9963a268bf3e39be1f Mon Sep 17 00:00:00 2001 From: Isaiah Robinson <95643215+internetisaiah@users.noreply.github.com> Date: Tue, 11 Jun 2024 19:43:56 -0700 Subject: [PATCH 3/6] Fix ruby error --- .../data_and_analytics/cloud_ingestion/connected_sources.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md b/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md index e255e35d4e2..19b3fab6b15 100644 --- a/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md +++ b/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md @@ -359,7 +359,7 @@ If queries are consistently timing out and you have set a maximum runtime of 60 #### Step 3: Test Connection Select **Test Connection** in Braze to verify that the list of tables visible to the user is what you expect, select **Done**. Your connected source is now created and ready to use in CDI Segments. -![]({% image_buster /assets/img/cloud_ingestion/connected_source3.png %}) +![]({% image_buster /assets/img/cloud_ingestion/connected_source_3.png %}) {% endtab %} From 6a67ad989bdb34276d93be76232da22f15697a60 Mon Sep 17 00:00:00 2001 From: Isaiah Robinson <95643215+internetisaiah@users.noreply.github.com> Date: Tue, 11 Jun 2024 21:08:05 -0700 Subject: [PATCH 4/6] fix numbering and tabs --- .../cloud_ingestion/connected_sources.md | 137 ++++++++---------- 1 file changed, 63 insertions(+), 74 deletions(-) diff --git a/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md b/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md index 19b3fab6b15..2cdfcfc4a33 100644 --- a/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md +++ b/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md @@ -25,68 +25,69 @@ Because connected sources run on your data warehouse directly, you will incur al {% endalert %} -## Integration +## Integrating connected sources + +### Step 1: Connect your resources Cloud Data Ingestion connected sources require some setup on the Braze side and in your instance. Follow these steps to set up the integration−some steps will be done in your data warehouse and some steps will be done in your Braze dashboard. {% tabs %} {% tab Snowflake %} **In your data warehouse** -1. Create a role and grant permissions to query and create tables in a schema -2. Set up your warehouse and give access to that role -3. Create a user for that role -4. Depending on your configuration, you may need to allow Braze IPs in your Snowflake network policy +1. Create a role and grant permissions to query and create tables in a schema. +2. Set up your warehouse and give access to that role. +3. Create a user for that role. +4. Depending on your configuration, you may need to allow Braze IPs in your Snowflake network policy. **In the Braze dashboard** {: start="5"} -5. Create a new connected source in the Braze dashboard -6. Configure the sync details for the connected source -7. Retrieve the public key provided in the Braze dashboard +5. Create a new connected source in the Braze dashboard. +6. Configure the sync details for the connected source. +7. Retrieve the public key provided in the Braze dashboard. **In your data warehouse** {: start="8"} -8. Append the public key from the Braze dashboard to the [Snowflake user for authentication](https://docs.snowflake.com/en/user-guide/key-pair-auth.html) - -When complete, you can use the connected source to create one or more CDI Segments. +8. Append the public key from the Braze dashboard to the [Snowflake user for authentication](https://docs.snowflake.com/en/user-guide/key-pair-auth.html). When you're finished, you can use the connected source to create one or more CDI Segments. {% endtab %} {% tab Redshift %} -1. Set up the source data and required resources in your Redshift environment -2. Create a new connected source in the Braze dashboard -4. Test the integration -5. Use the connected source to create one or more CDI Segments +1. Set up the source data and required resources in your Redshift environment. +2. Create a new connected source in the Braze dashboard. +4. Test the integration. +5. Use the connected source to create one or more CDI Segments. {% endtab %} {% tab BigQuery %} -1. Set up the source data and required resources in your BigQuery environment +1. Set up the source data and required resources in your BigQuery environment. 2. Create a service account and allow access to the BigQuery project(s) and dataset(s) that contain the data you want to sync. -3. Create a new connected source in the Braze dashboard -4. Test the integration -5. Use the connected source to create one or more CDI Segments +3. Create a new connected source in the Braze dashboard. +4. Test the integration. +5. Use the connected source to create one or more CDI Segments. {% endtab %} {% tab Databricks %} -1. Set up the source data and required resources in your Databricks environment +1. Set up the source data and required resources in your Databricks environment. 2. Create a service account and allow access to the Databricks project(s) and dataset(s) that contain the data you want to sync. -3. Create a new connected source in the Braze dashboard -4. Test the integration -5. Use the connected source to create one or more CDI Segments +3. Create a new connected source in the Braze dashboard. +4. Test the integration. +5. Use the connected source to create one or more CDI Segments. + {% alert important %} There may be two to five minutes of warm-up time when Braze connects to Classic and Pro SQL instances, which will lead to delays during connection setup and testing, as well as during CDI Segment creation and refresh. Using a serverless SQL instance will minimize warmup time and improve query throughput, but may result in slightly higher integration costs. {% endalert %} -{% endtab %} +{% endtab %} {% endtabs %} -### Setting up your data warehouse +### Step 2: Set up your data warehouse First, set up the source data and required resources in your data warehouse environment. A connected source may reference one or more tables, so the user created for Braze to use should have permissions for all tables you want to be available in the connected source. {% tabs %} {% tab Snowflake %} -#### Step 1: Create a role and grant permissions +#### Step 2.1: Create a role and grant permissions Create a role for your connected source to use. This role will be used to generate the list of tables available in your CDI segments, and to query source tables to create new segments. Once the connected source is created, Braze will discover the names and description of all tables available to the user in the source schema. @@ -111,8 +112,7 @@ GRANT SELECT ON TABLE BRAZE_CLOUD_PRODUCTION.INGESTION.USERS_ATTRIBUTES_SYNC TO ``` - -#### Step 2: Set up the warehouse and give access to Braze role +#### Step 2.2: Set up the warehouse and give access to Braze role ```json CREATE WAREHOUSE BRAZE_INGESTION_WAREHOUSE; @@ -124,7 +124,7 @@ GRANT USAGE ON WAREHOUSE BRAZE_INGESTION_WAREHOUSE TO ROLE BRAZE_INGESTION_ROLE; The warehouse will need to have the **auto-resume** flag on. If not, you will need to grant Braze additional `OPERATE` privileges on the warehouse for Braze to turn it on when it's time to run the query. {% endalert %} -#### Step 3: Set up the user +#### Step 2.3: Set up the user ```json CREATE USER BRAZE_INGESTION_USER; @@ -137,7 +137,8 @@ You will share connection information with Braze and receive a public key to app When connecting different workspaces to the same Snowflake account, you must create a unique user for each Braze workspace where you are creating an integration. Within a workspace, you can reuse the same user across integrations, but integration creation will fail if a user on the same Snowflake account is duplicated across workspaces. {% endalert %} -#### Step 4: Allow Braze IPs in Snowflake network policy (optional) +#### Step 2.4: Allow Braze IPs in Snowflake network policy (optional) + Depending on the configuration of your Snowflake account, you may need to allow the following IP addresses in your Snowflake network policy. For more information on enabling this, see the relevant Snowflake documentation on [modifying a network policy](https://docs.snowflake.com/en/user-guide/network-policies.html#modifying-network-policies). | For Instances `US-01`, `US-02`, `US-03`, `US-04`, `US-05`, `US-06`, `US-07` | For Instances `EU-01` and `EU-02` | @@ -154,8 +155,7 @@ Depending on the configuration of your Snowflake account, you may need to allow {% endtab %} {% tab Redshift %} - -#### Step 1: Create user and grant permissions +#### Step 2.1: Create user and grant permissions ```json CREATE USER braze_user PASSWORD '{password}'; @@ -171,7 +171,7 @@ You may choose to grant access to all tables in a schema, or grant privileges on Create table permisison is required because Braze will create a table with your CDI Segment query results before updating the segment in Braze. We will create a temporary table per segment, and the table will only persist while Braze is updating the segment. -#### Step 2: Allow access to Braze IPs +#### Step 2.2: Allow access to Braze IPs If you have a firewall or other network policies, you must give Braze network access to your Redshift instance. Allow access from the below IPs corresponding to your Braze dashboard's region. @@ -192,32 +192,28 @@ If you won't want your Redshift cluster to be publicly accessible, you can set u | `52.54.89.238`| `3.65.88.25` | `18.205.178.15`| `3.68.144.188` | | `3.70.107.88` - {% endtab %} {% tab BigQuery %} - -#### Step 1: Create a Service Account and grant permissions +#### Step 2.1: Create a Service Account and grant permissions Create a service account in GCP for Braze to use to connect and read data from your table(s). The service account should have the below permissions: -- **BigQuery Connection User:** This will allow Braze to make connections +- **BigQuery Connection User:** This will allow Braze to make connections. - **BigQuery User:** This will provide Braze access to run queries, read dataset metadata, and list tables. - **BigQuery Data Viewer:** This will provide Braze access to view datasets and their contents. -- **BigQuery Job User:** This will provide Braze access to run jobs -- **bigquery.tables.create** This will provide Braze access to create temporary tables during segment refresh +- **BigQuery Job User:** This will provide Braze access to run jobs. +- **bigquery.tables.create** This will provide Braze access to create temporary tables during segment refresh. Create a service account for your connected source to use. This user will be used to generate the list of tables available in your CDI segments, and to query source tables to create new segments. Once the connected source is created, Braze will discover the names and description of all tables available to the user in the source schema. You may choose to grant access to all tables in a dataset, or grant privileges only to specific tables. Whichever tables the Braze role has access to will be available to query in the CDI segment. -Create table permisison is required because Braze will create a table with your CDI Segment query results before updating the segment in Braze. We will create a temporary table per segment, and the table will only persist while Braze is updating the segment. +Create table permission is required because Braze will create a table with your CDI Segment query results before updating the segment in Braze. We will create a temporary table per segment, and the table will only persist while Braze is updating the segment. After creating the service account and granting permissions, generate a JSON key. See more information on how to do this [here](https://cloud.google.com/iam/docs/keys-create-delete). You will update this to the Braze dashboard later. - - -#### Step 2: Allow access to Braze IPs +#### Step 2.2: Allow access to Braze IPs If you have network policies in place, you must give Braze network access to your Big Query instance. Allow access from the below IPs corresponding to your Braze dashboard's region. @@ -232,12 +228,10 @@ If you have network policies in place, you must give Braze network access to you | `52.54.89.238`| `3.65.88.25` | `18.205.178.15`| `3.68.144.188` | | `3.70.107.88` - {% endtab %} {% tab Databricks %} - -#### Step 1: Create a Access Token +#### Step 2.1: Create a Access Token In order for Braze to access Databricks, a personal access token needs to be created. @@ -256,7 +250,7 @@ Create table permisison is required because Braze will create a table with your Keep the token in a safe place until you need to enter it on the Braze dashboard during the credential creation step. -#### Step 2: Allow access to Braze IPs +#### Step 2.2: Allow access to Braze IPs If you have network policies in place, you must give Braze network access to your Databricks instance. Allow access from the below IPs corresponding to your Braze dashboard's region. @@ -272,10 +266,9 @@ If you have network policies in place, you must give Braze network access to you | `18.205.178.15`| `3.68.144.188` | | `3.70.107.88` {% endtab %} - {% endtabs %} -### Creating a connected source in the Braze dashboard +### Step 3: Create a connected source in the Braze dashboard Next, create a connected source in the Braze dashboard. Go to **Data Settings** > **Cloud Data Ingestion**. Navigate to the **Connected Sources** tab and click **Create data connection**. @@ -283,16 +276,16 @@ Next, create a connected source in the Braze dashboard. Go to **Data Settings** If you are using the [older navigation]({{site.baseurl}}/navigation), go to **Cloud Data Ingestion** under **Data**. {% endalert %} - -{% tabs %} +{% tabs local %} {% tab Snowflake %} +#### Step 3.1: Add Snowflake connection information and source table -#### Step 5: Add Snowflake connection information and source table Input the information for your Snowflake data warehouse and source schema, then proceed to the next step. ![]({% image_buster /assets/img/cloud_ingestion/connected_source_sf_1.png %}) -#### Step 6: Configure sync details +#### Step 3.2: Configure sync details + Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when we are creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. @@ -304,7 +297,7 @@ If queries are consistently timing out and you have set a maximum runtime of 60 ![]({% image_buster /assets/img/cloud_ingestion/connected_source_sf_2.png %}) -#### Step 7: Note the public key +#### Step 3.3: Note the public key In the **Test connection** page, you will see a RSA public key. Note this down. You will need it complete the integration in Snowflake. @@ -313,13 +306,10 @@ In the **Test connection** page, you will see a RSA public key. Note this down. {% endtab %} {% endtabs %} -### Finalize configuring the data warehouse +### Step 4: Finalize the data warehouse configuration {% tabs %} {% tab Snowflake %} - -#### Step 8: Add a public key to the Braze user - Add the public key you noted during the last step to your user in Snowflake. This will allow Braze to connect to Snowflake. For details on how to do this, see the [Snowflake documentation](https://docs.snowflake.com/en/user-guide/key-pair-auth.html). If you want to rotate the keys at any point, Braze can generate a new key pair and provide you with the new public key. @@ -329,22 +319,23 @@ ALTER USER BRAZE_INGESTION_USER SET rsa_public_key='{INSERT_YOUR_KEY}'; ``` Once you have added the key to the user in Snowflake, select **Test Connection** in Braze, and then select **Done**. Your connected source is now created and ready to use in CDI Segments. - {% endtab %} {% tab Redshift %} +#### Step 4.1: Add Redshift connection information and source table + Go to **Data Settings** > **Cloud Data Ingestion**. Navigate to the **Connected Sources** tab and click **Create data connection**. {% alert note %} If you are using the [older navigation]({{site.baseurl}}/navigation), go to **Cloud Data Ingestion** under **Data**. {% endalert %} -#### Step 1: Add Redshift connection information and source table Input the information for your Redshift account and source schema, then proceed to the next step. ![]({% image_buster /assets/img/cloud_ingestion/connected_source_rs_1.png %}) -#### Step 2: Configure sync details +#### Step 4.2: Configure sync details + Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when we are creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. @@ -355,24 +346,22 @@ If queries are consistently timing out and you have set a maximum runtime of 60 ![]({% image_buster /assets/img/cloud_ingestion/connected_source_sf_2.png %}) +#### Step 4.3: Test Connection -#### Step 3: Test Connection Select **Test Connection** in Braze to verify that the list of tables visible to the user is what you expect, select **Done**. Your connected source is now created and ready to use in CDI Segments. ![]({% image_buster /assets/img/cloud_ingestion/connected_source_3.png %}) - - {% endtab %} {% tab BigQuery %} +#### Step 4.1: Add BigQuery connection information and source dataset - -#### Step 1: Add BigQuery connection information and source dataset Upload the JSON key and provide a name for the service account, then input the details of your source dataset. ![]({% image_buster /assets/img/cloud_ingestion/connected_source_bq_1.png %}) -#### Step 2: Configure sync details +#### Step 4.2: Configure sync details + Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when we are creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. @@ -383,22 +372,22 @@ If queries are consistently timing out and you have set a maximum runtime of 60 ![]({% image_buster /assets/img/cloud_ingestion/connected_source_sf_2.png %}) +#### Step 4.3: Test Connection -#### Step 3: Test Connection Select **Test Connection** in Braze to verify that the list of tables visible to the user is what you expect, select **Done**. Your connected source is now created and ready to use in CDI Segments. ![]({% image_buster /assets/img/cloud_ingestion/connected_source_3.png %}) - {% endtab %} {% tab Databricks %} +#### Step 4.1: Add Databricks connection information and source dataset -#### Step 1: Add Databricks connection information and source dataset Input the information for your Databricks data warehouse and source data, then proceed to the next step. ![]({% image_buster /assets/img/cloud_ingestion/connected_source_db_1.png %}) -#### Step 2: Configure sync details +#### Step 4.2: Configure sync details + Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when we are creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. @@ -409,13 +398,12 @@ If queries are consistently timing out and you have set a maximum runtime of 60 ![]({% image_buster /assets/img/cloud_ingestion/connected_source_sf_2.png %}) +#### Step 4.3: Test Connection -#### Step 3: Test Connection Select **Test Connection** in Braze to verify that the list of tables visible to the user is what you expect, select **Done**. Your connected source is now created and ready to use in CDI Segments. ![]({% image_buster /assets/img/cloud_ingestion/connected_source_3.png %}) {% endtab %} - {% endtabs %} {% alert note %} @@ -423,6 +411,7 @@ You must successfully test a source before it can move from Draft to Active stat {% endalert %} ## Setting up additional integrations or users (optional) + {% tabs %} {% tab Snowflake %} You may set up multiple integrations with Braze, but each integration should be configured to connect a different schema. When creating additional connections, you may reuse existing credentials if connecting to the same Snowflake account. @@ -441,10 +430,10 @@ You may set up multiple sources with Braze, but each source should be configured {% tab Databricks %} You may set up multiple sources with Braze, but each source should be configured to connect a different schema. When creating additional sources, you may reuse existing credentials if connecting to the same Databricks account. {% endtab %} - {% endtabs %} ## Using the connected source + Once the source is created, it can be used to create one or more CDI Segments. For more information on creating a segment with this source, see the [CDI Segments documentation]({{site.baseurl}}/user_guide/engagement_tools/segments/segment_extension/cdi_segments/). {% alert note %} From 0b230d97a24c9e6d2a26f9ea00aaea25edd76361 Mon Sep 17 00:00:00 2001 From: Isaiah Robinson <95643215+internetisaiah@users.noreply.github.com> Date: Wed, 12 Jun 2024 15:19:26 -0700 Subject: [PATCH 5/6] connected sources fixes --- .../cloud_ingestion/connected_sources.md | 208 +++++++++++------- 1 file changed, 129 insertions(+), 79 deletions(-) diff --git a/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md b/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md index 2cdfcfc4a33..16b3f5b9d54 100644 --- a/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md +++ b/_docs/_user_guide/data_and_analytics/cloud_ingestion/connected_sources.md @@ -15,18 +15,16 @@ Once a connected source is added to your Braze workspace, you can create a CDI s For more information on creating a segment with this source, see the [CDI Segments documentation]({{site.baseurl}}/user_guide/engagement_tools/segments/segment_extension/cdi_segments/). - -{% alert update %} -Note that this feature is currently in Early Access for BigQuery, Databricks, Redshift, and Snowflake -{% endalert %} - -{% alert important %} +{% alert warning %} Because connected sources run on your data warehouse directly, you will incur all costs associated with running these queries in your data warehouse. Connected sources do not consume data points, and CDI segments do not consume SQL Segment credits. {% endalert %} - ## Integrating connected sources +{% alert important %} +Connected sources is currently in early access for BigQuery, Databricks, Redshift, and Snowflake. +{% endalert %} + ### Step 1: Connect your resources Cloud Data Ingestion connected sources require some setup on the Braze side and in your instance. Follow these steps to set up the integration−some steps will be done in your data warehouse and some steps will be done in your Braze dashboard. @@ -83,18 +81,17 @@ There may be two to five minutes of warm-up time when Braze connects to Classic ### Step 2: Set up your data warehouse -First, set up the source data and required resources in your data warehouse environment. A connected source may reference one or more tables, so the user created for Braze to use should have permissions for all tables you want to be available in the connected source. +First, set up the source data and required resources in your data warehouse environment. The connected source may reference one or more tables, so ensure your Braze user has permissions for all tables you want available in the connected source. {% tabs %} {% tab Snowflake %} #### Step 2.1: Create a role and grant permissions -Create a role for your connected source to use. This role will be used to generate the list of tables available in your CDI segments, and to query source tables to create new segments. Once the connected source is created, Braze will discover the names and description of all tables available to the user in the source schema. +Create a role for your connected source to use. This role will be used to generate the list of tables available in your CDI segments, and to query source tables to create new segments. After the connected source is created, Braze will discover the names and description of all tables available to the user in the source schema. You may choose to grant access to all tables in a schema, or grant privileges only to specific tables. Whichever tables the Braze role has access to will be available to query in the CDI segment. -Create table permisison is required because Braze will create a table with your CDI Segment query results before updating the segment in Braze. We will create a temporary table per segment, and the table will only persist while Braze is updating the segment. - +The `create table` permission is required so Braze can create a table with your CDI Segment query results before updating the segment in Braze. Braze will create a temporary table per segment, and the table will only persist while Braze is updating the segment. ```json CREATE ROLE BRAZE_INGESTION_ROLE; @@ -141,17 +138,32 @@ When connecting different workspaces to the same Snowflake account, you must cre Depending on the configuration of your Snowflake account, you may need to allow the following IP addresses in your Snowflake network policy. For more information on enabling this, see the relevant Snowflake documentation on [modifying a network policy](https://docs.snowflake.com/en/user-guide/network-policies.html#modifying-network-policies). -| For Instances `US-01`, `US-02`, `US-03`, `US-04`, `US-05`, `US-06`, `US-07` | For Instances `EU-01` and `EU-02` | -|---|---| -| `23.21.118.191`| `52.58.142.242` -| `34.206.23.173`| `52.29.193.121` -| `50.16.249.9`| `35.158.29.228` -| `52.4.160.214`| `18.157.135.97` -| `54.87.8.34`| `3.123.166.46` -| `54.156.35.251`| `3.64.27.36` -| `52.54.89.238`| `3.65.88.25` -| `18.205.178.15`| `3.68.144.188` -| | `3.70.107.88` +{% subtabs %} +{% subtab United States (US) %} +For instances `US-01`, `US-02`, `US-03`, `US-04`, `US-05`, `US-06`, `US-07`, these are the relevant IP addresses: +- `23.21.118.191` +- `34.206.23.173` +- `50.16.249.9` +- `52.4.160.214` +- `54.87.8.34` +- `54.156.35.251` +- `52.54.89.238` +- `18.205.178.15` +{% endsubtab %} + +{% subtab European Union (EU) %} +For instances `EU-01` and `EU-02`, these are the relevant IP addresses: +- `52.58.142.242` +- `52.29.193.121` +- `35.158.29.228` +- `18.157.135.97` +- `3.123.166.46` +- `3.64.27.36` +- `3.65.88.25` +- `3.68.144.188` +- `3.70.107.88` +{% endsubtab %} +{% endsubtabs %} {% endtab %} {% tab Redshift %} @@ -168,30 +180,43 @@ Create a user for your connected source to use. This user will be used to genera You may choose to grant access to all tables in a schema, or grant privileges only to specific tables. Whichever tables the Braze role has access to will be available to query in the CDI segment. Be sure to grant access to any new tables to the user when they're created, or set default permissions for the user. -Create table permisison is required because Braze will create a table with your CDI Segment query results before updating the segment in Braze. We will create a temporary table per segment, and the table will only persist while Braze is updating the segment. + The `create table` permission is required so Braze can create a table with your CDI Segment query results before updating the segment in Braze. Braze will create a temporary table per segment, and the table will only persist while Braze is updating the segment. #### Step 2.2: Allow access to Braze IPs If you have a firewall or other network policies, you must give Braze network access to your Redshift instance. Allow access from the below IPs corresponding to your Braze dashboard's region. -{% alert important %} -You may also need to change your security groups to allow Braze to access your data in Redshift. Make sure to explicitly allow inbound traffic on the IPs below and on the port used to query your Redshift cluster (default is 5439). You should explicitly allow Redshift TCP connectivity on this port even if the inbound rules are set to "allow all". In addition, it is important that the endpoint for the Redshift cluster be publicly accessible in order for Braze to connect to your cluster. - -If you won't want your Redshift cluster to be publicly accessible, you can set up a VPC and EC2 instance to use an ssh tunnel to access the Redshift data. [Check out this AWS Knowledge Center post for more information.](https://repost.aws/knowledge-center/private-redshift-cluster-local-machine) -{% endalert %} - -| For Instances `US-01`, `US-02`, `US-03`, `US-04`, `US-05`, `US-06`, `US-07` | For Instances `EU-01` and `EU-02` | -|---|---| -| `23.21.118.191`| `52.58.142.242` -| `34.206.23.173`| `52.29.193.121` -| `50.16.249.9`| `35.158.29.228` -| `52.4.160.214`| `18.157.135.97` -| `54.87.8.34`| `3.123.166.46` -| `54.156.35.251`| `3.64.27.36` -| `52.54.89.238`| `3.65.88.25` -| `18.205.178.15`| `3.68.144.188` -| | `3.70.107.88` +You may also need to change your security groups to allow Braze access to your data in Redshift. Make sure to explicitly allow inbound traffic on the IPs below and on the port used to query your Redshift cluster (default is 5439). You should explicitly allow Redshift TCP connectivity on this port even if the inbound rules are set to "allow all". In addition, it is important that the endpoint for the Redshift cluster be publicly accessible in order for Braze to connect to your cluster. + +If you do not want your Redshift cluster to be publicly accessible, you can set up a VPC and EC2 instance to use an ssh tunnel to access the Redshift data. For more information, see [AWS: How do I access a private Aamazon Redshift cluster from my local machine?](https://repost.aws/knowledge-center/private-redshift-cluster-local-machine) + +{% subtabs %} +{% subtab United States (US) %} +For instances `US-01`, `US-02`, `US-03`, `US-04`, `US-05`, `US-06`, `US-07`, these are the relevant IP addresses: +- `23.21.118.191` +- `34.206.23.173` +- `50.16.249.9` +- `52.4.160.214` +- `54.87.8.34` +- `54.156.35.251` +- `52.54.89.238` +- `18.205.178.15` +{% endsubtab %} + +{% subtab European Union (EU) %} +For instances `EU-01` and `EU-02`, these are the relevant IP addresses: +- `52.58.142.242` +- `52.29.193.121` +- `35.158.29.228` +- `18.157.135.97` +- `3.123.166.46` +- `3.64.27.36` +- `3.65.88.25` +- `3.68.144.188` +- `3.70.107.88` +{% endsubtab %} +{% endsubtabs %} {% endtab %} {% tab BigQuery %} @@ -209,25 +234,40 @@ Create a service account for your connected source to use. This user will be use You may choose to grant access to all tables in a dataset, or grant privileges only to specific tables. Whichever tables the Braze role has access to will be available to query in the CDI segment. -Create table permission is required because Braze will create a table with your CDI Segment query results before updating the segment in Braze. We will create a temporary table per segment, and the table will only persist while Braze is updating the segment. +The `create table` permission is required so Braze can create a table with your CDI Segment query results before updating the segment in Braze. Braze will create a temporary table per segment, and the table will only persist while Braze is updating the segment. -After creating the service account and granting permissions, generate a JSON key. See more information on how to do this [here](https://cloud.google.com/iam/docs/keys-create-delete). You will update this to the Braze dashboard later. +After creating the service account and granting permissions, generate a JSON key. For more information, see [Google Cloud: Create and delete service account keys](https://cloud.google.com/iam/docs/keys-create-delete). You'll upload this to the Braze dashboard later. #### Step 2.2: Allow access to Braze IPs If you have network policies in place, you must give Braze network access to your Big Query instance. Allow access from the below IPs corresponding to your Braze dashboard's region. -| For Instances `US-01`, `US-02`, `US-03`, `US-04`, `US-05`, `US-06`, `US-07` | For Instances `EU-01` and `EU-02` | -|---|---| -| `23.21.118.191`| `52.58.142.242` -| `34.206.23.173`| `52.29.193.121` -| `50.16.249.9`| `35.158.29.228` -| `52.4.160.214`| `18.157.135.97` -| `54.87.8.34`| `3.123.166.46` -| `54.156.35.251`| `3.64.27.36` -| `52.54.89.238`| `3.65.88.25` -| `18.205.178.15`| `3.68.144.188` -| | `3.70.107.88` +{% subtabs %} +{% subtab United States (US) %} +For instances `US-01`, `US-02`, `US-03`, `US-04`, `US-05`, `US-06`, `US-07`, these are the relevant IP addresses: +- `23.21.118.191` +- `34.206.23.173` +- `50.16.249.9` +- `52.4.160.214` +- `54.87.8.34` +- `54.156.35.251` +- `52.54.89.238` +- `18.205.178.15` +{% endsubtab %} + +{% subtab European Union (EU) %} +For instances `EU-01` and `EU-02`, these are the relevant IP addresses: +- `52.58.142.242` +- `52.29.193.121` +- `35.158.29.228` +- `18.157.135.97` +- `3.123.166.46` +- `3.64.27.36` +- `3.65.88.25` +- `3.68.144.188` +- `3.70.107.88` +{% endsubtab %} +{% endsubtabs %} {% endtab %} {% tab Databricks %} @@ -244,9 +284,9 @@ In order for Braze to access Databricks, a personal access token needs to be cre This token will be used to generate the list of tables available in your CDI segments, and to query source tables to create new segments. Once the connected source is created, Braze will discover the names and description of all tables available to the user in the source schema. -You may choose to grant access to all tables in a schema, or grant privileges only to specific tables. Whichever tables the Braze role has access to will be available to query in the CDI segment. +You may choose to grant access to all tables in a schema, or grant privileges only to specific tables. Whichever tables the Braze role has access to will be available to query in the CDI segment. -Create table permisison is required because Braze will create a table with your CDI Segment query results before updating the segment in Braze. We will create a temporary table per segment, and the table will only persist while Braze is updating the segment. + The `create table` permission is required so Braze can create a table with your CDI Segment query results before updating the segment in Braze. Braze will create a temporary table per segment, and the table will only persist while Braze is updating the segment. Keep the token in a safe place until you need to enter it on the Braze dashboard during the credential creation step. @@ -254,32 +294,43 @@ Keep the token in a safe place until you need to enter it on the Braze dashboard If you have network policies in place, you must give Braze network access to your Databricks instance. Allow access from the below IPs corresponding to your Braze dashboard's region. -| For Instances `US-01`, `US-02`, `US-03`, `US-04`, `US-05`, `US-06`, `US-07` | For Instances `EU-01` and `EU-02` | -|---|---| -| `23.21.118.191`| `52.58.142.242` -| `34.206.23.173`| `52.29.193.121` -| `50.16.249.9`| `35.158.29.228` -| `52.4.160.214`| `18.157.135.97` -| `54.87.8.34`| `3.123.166.46` -| `54.156.35.251`| `3.64.27.36` -| `52.54.89.238`| `3.65.88.25` -| `18.205.178.15`| `3.68.144.188` -| | `3.70.107.88` +{% subtabs %} +{% subtab United States (US) %} +For instances `US-01`, `US-02`, `US-03`, `US-04`, `US-05`, `US-06`, `US-07`, these are the relevant IP addresses: +- `23.21.118.191` +- `34.206.23.173` +- `50.16.249.9` +- `52.4.160.214` +- `54.87.8.34` +- `54.156.35.251` +- `52.54.89.238` +- `18.205.178.15` +{% endsubtab %} + +{% subtab European Union (EU) %} +For instances `EU-01` and `EU-02`, these are the relevant IP addresses: +- `52.58.142.242` +- `52.29.193.121` +- `35.158.29.228` +- `18.157.135.97` +- `3.123.166.46` +- `3.64.27.36` +- `3.65.88.25` +- `3.68.144.188` +- `3.70.107.88` +{% endsubtab %} +{% endsubtabs %} {% endtab %} {% endtabs %} ### Step 3: Create a connected source in the Braze dashboard -Next, create a connected source in the Braze dashboard. Go to **Data Settings** > **Cloud Data Ingestion**. Navigate to the **Connected Sources** tab and click **Create data connection**. - -{% alert note %} -If you are using the [older navigation]({{site.baseurl}}/navigation), go to **Cloud Data Ingestion** under **Data**. -{% endalert %} - {% tabs local %} {% tab Snowflake %} #### Step 3.1: Add Snowflake connection information and source table +Next, create a connected source in the Braze dashboard. Go to **Data Settings** > **Cloud Data Ingestion**. Navigate to the **Connected Sources** tab and click **Create data connection**. + Input the information for your Snowflake data warehouse and source schema, then proceed to the next step. ![]({% image_buster /assets/img/cloud_ingestion/connected_source_sf_1.png %}) @@ -288,7 +339,7 @@ Input the information for your Snowflake data warehouse and source schema, then Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. -Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when we are creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. +Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when it's creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. {% alert note %} If queries are consistently timing out and you have set a maximum runtime of 60 minutes, consider trying to optimize your query execution time or dedicating a larger warehouse to the Braze user. @@ -296,7 +347,6 @@ If queries are consistently timing out and you have set a maximum runtime of 60 ![]({% image_buster /assets/img/cloud_ingestion/connected_source_sf_2.png %}) - #### Step 3.3: Note the public key In the **Test connection** page, you will see a RSA public key. Note this down. You will need it complete the integration in Snowflake. @@ -338,7 +388,7 @@ Input the information for your Redshift account and source schema, then proceed Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. -Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when we are creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. +Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when it's creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. {% alert note %} If queries are consistently timing out and you have set a maximum runtime of 60 minutes, consider trying to optimize your query execution time. @@ -362,9 +412,9 @@ Upload the JSON key and provide a name for the service account, then input the d #### Step 4.2: Configure sync details -Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. +Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. -Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when we are creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. +Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when it's creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. {% alert note %} If queries are consistently timing out and you have set a maximum runtime of 60 minutes, consider trying to optimize your query execution time. @@ -388,9 +438,9 @@ Input the information for your Databricks data warehouse and source data, then p #### Step 4.2: Configure sync details -Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. +Next, choose a name for connected source. This name will be used in the list of available sources when you create a new CDI Segment. -Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when we are creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. +Configure a max runtime for this source. Braze will automatically abort any queries that exceed the max runtime when it's creating or refreshing a segment. The maximum runtime allowed is 60 minutes; a lower runtime will reduce costs incurred on your Snowflake account. {% alert note %} If queries are consistently timing out and you have set a maximum runtime of 60 minutes, consider trying to optimize your query execution time. From 317eb6a27c1168e326eb62c63cdf4ecb40fb49c1 Mon Sep 17 00:00:00 2001 From: Isaiah Robinson <95643215+internetisaiah@users.noreply.github.com> Date: Wed, 12 Jun 2024 15:34:35 -0700 Subject: [PATCH 6/6] cdi segments fixes --- .../segment_extension/cdi_segments.md | 42 ++++++++++++------- 1 file changed, 27 insertions(+), 15 deletions(-) diff --git a/_docs/_user_guide/engagement_tools/segments/segment_extension/cdi_segments.md b/_docs/_user_guide/engagement_tools/segments/segment_extension/cdi_segments.md index 95c5f250c00..80b2c66f183 100644 --- a/_docs/_user_guide/engagement_tools/segments/segment_extension/cdi_segments.md +++ b/_docs/_user_guide/engagement_tools/segments/segment_extension/cdi_segments.md @@ -13,37 +13,49 @@ description: "This how-to article will walk you through how to set up Location t > With Braze [Cloud Data Ingestion]({{site.baseurl}}/user_guide/data_and_analytics/cloud_ingestion/overview/) (CDI), you can set up a direct connection from your data warehouse or file storage system to Braze to sync relevant user or catalog data on a recurring basis. -{% alert note %} -CDI segments is currently in early access and is available for BigQuery, Databricks, Redshift, and Snowflake. +{% alert warning %} +This feature queries your data warehouse directly, so you will incur all costs associated with running these queries in your data warehouse. It won't consume [SQL segment credits]({{site.baseurl}}/user_guide/engagement_tools/segments/sql_segments/#monitoring-your-sql-segments-usage) or data points. {% endalert %} -To use your data warehouse data for segmentation within your Braze workspace, first create a [Connected Source]({{site.baseurl}}/user_guide/data_and_analytics/cloud_ingestion/connected_sources/), and then create a CDI segment within your [segment extensions]({{site.baseurl}}/user_guide/engagement_tools/segments/segment_extension/). CDI segments allow you to write SQL that directly queries your own data warehouse by using data made available via your CDI connections, and create a group of users that can be targeted within Braze. +## Prerequisites -This feature queries your data warehouse directly, so you will incur all costs associated with running these queries in your data warehouse. It won't consume [SQL segment credits]({{site.baseurl}}/user_guide/engagement_tools/segments/sql_segments/#monitoring-your-sql-segments-usage) or data points. +To use your data warehouse data for segmentation within your Braze workspace, you'll need to create a [connected source]({{site.baseurl}}/user_guide/data_and_analytics/cloud_ingestion/connected_sources/), then create a CDI segment within your [segment extensions]({{site.baseurl}}/user_guide/engagement_tools/segments/segment_extension/). CDI segments allow you to write SQL that directly queries your own data warehouse by using data made available via your CDI connections, and create a group of users that can be targeted within Braze. + +## Creating a CDI segment + +{% alert important %} +CDI segments are currently in early access for BigQuery, Databricks, Redshift, and Snowflake. +{% endalert %} + +### Step 1: Set up your source -## Setting up CDI source Before creating your first CDI Segment, set up a new Connected Source with your data warehouse by following the steps in [Connected Sources]({{site.baseurl}}/user_guide/data_and_analytics/cloud_ingestion/connected_sources/). -## Creating a CDI segment +### Step 2: Create a segment + +First, create a new [Segment Extension]({{site.baseurl}}/user_guide/engagement_tools/segments/segment_extension/), then select **Full refresh**. + +![]({% image_buster /assets/img/segment/segment_extension_modal.png %}){: style="max-width:70%;"} + +For your data source, choose **CDI Data Tables**. -After your CDI integration is set up, create your CDI segment by doing the following. +![]({% image_buster /assets/img/segment/cdi_data_tables.png %}){: style="max-width:80%;"} -1. Create a new [Segment Extension]({{site.baseurl}}/user_guide/engagement_tools/segments/segment_extension/) and select the **Full refresh** option.
![]({% image_buster /assets/img/segment/segment_extension_modal.png %}){: style="max-width:50%;"}

+As part of your CDI setup, you can select from different connections to use in CDI segments. Each connection has a specific set of data tables. Your development team can configure your connections and data tables during CDI setup. -2. Select **CDI Data Tables** as your data source.
![]({% image_buster /assets/img/segment/cdi_data_tables.png %}){: style="max-width:50%;"}

+To view the available data tables, select **Reference**. When you're ready, select a connection. -3. Select **Reference** to view the data tables available for use. As part of your CDI setup, you can select from different connections to use in CDI segments. Each connection has a specific set of data tables. Your development team can configure your connections and data tables during CDI setup.

+![]({% image_buster /assets/img/segment/connection_schema.png %}){: style="max-width:100%;"} -4. Select a connection.
![]({% image_buster /assets/img/segment/connection_schema.png %}){: style="max-width:70%;"}

+Next, write the SQL for your segment using [the Braze SQL syntax]({{site.baseurl}}/user_guide/engagement_tools/segments/sql_segments/#writing-sql). -5. Write the SQL for your segment using [our guidelines]({{site.baseurl}}/user_guide/engagement_tools/segments/sql_segments/#writing-sql). All CDI segments must use `external_user_id` as the selected column, and your `external_user_id` should match the one set in Braze for users. If your query results include users that don't exist in Braze, those users will be ignored. Braze will not create new users based on the output of your CDI segment. +Keep in mind, all CDI segments must use `external_user_id` as the selected column, and your `external_user_id` should match the one set in Braze for users. If your query results include users that don't exist in Braze, those users will be ignored. Braze will not create new users based on the output of your CDI segment. {% alert tip %} -Check out [SQL Segment Extensions]({{site.baseurl}}/user_guide/engagement_tools/segments/sql_segments/) for guidelines on previewing your segment, managing your segment, and running automated membership refreshes. +To learn how you can preview your segment, manage your segment, and run automated membership refreshes, see [SQL Segment Extensions]({{site.baseurl}}/user_guide/engagement_tools/segments/sql_segments/). {% endalert %} -{: start="6"} -6. [Use this segment extension]({{site.baseurl}}/user_guide/engagement_tools/segments/segment_extension/#step-5-use-your-extension-in-a-segment) within a Braze segment to send a campaign or Canvas to this audience. +Finally, you can [use this segment extension]({{site.baseurl}}/user_guide/engagement_tools/segments/segment_extension/#step-5-use-your-extension-in-a-segment) within a Braze segment to send a campaign or Canvas to this audience. ## Considerations