diff --git a/docker/README.md b/docker/README.md
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+# OS agnostic runtime for Databricks Migrate
+[Databricks Migrate](https://github.com/databrickslabs/migrate) is a tool from [Databricks Labs](https://github.com/databrickslabs) that facilitates migration of objects in one Databricks workspace to another. The tool requires a Unix/Linux OS environment to operate. The packaging in this repo allows the Migrate tool to be run in other OS environments (i.e. Windows) using Docker.
+
+## Local Environment Prerequisites
+The set of scripts located in this directory have the following local dependencies:
+* [Docker Desktop](https://docs.docker.com/desktop/install/windows-install/)
+
+## Getting Started
+_Note: For the following steps, the legacy workspace that is being migrated `from` is aliased as `oldWS`. The new workspace that is being migrated `to` is aliased as `newWS`._
+
+1. Open the `.\databricks\.databrickscfg` file in this repo. There are entries for `oldWS` and `newWS` in this file. Replace the value for each `host` with the appropriate URL for that workspace. The URL will be of the format `https://<workspace-host>`.
+2. For each workspace, [generate an access token](https://docs.databricks.com/dev-tools/auth.html#personal-access-tokens-for-users) for a user that has admin privileges.
+3. Copy the generated token into the `.\databricks\.databrickscfg` file in this repo. Replace the value for each `token` in the file with the appropriate token for that workspace.
+4. Save the changes to `.\databricks\.databrickscfg`.
+
+
+## Environment Setup
+With the docker daemon running, navigate to this directory in your local shell, and execute the following command.
+```
+docker build -t databricks-migrate .
+```
+Once the image is done building, execute the following command from your shell to start the container. Your shell will be redirected to `/opt/migrate` inside the running container. The tool is now ready for use.
+```
+docker run -it --name databricks-migrate -v .\databricks\.databrickscfg:/root/.databrickscfg -v .\databricks:/databricks databricks-migrate
+```
+
+## Usage
+For CDWNG workspaces, the following commands have been used to handle migration of specific Databricks objects.
+
+Export objects from `oldWS`:
+```
+python migration_pipeline.py --azure --profile oldWS --export-pipeline --set-export-dir $SESSIONS_DIR --notebook-format SOURCE --keep-tasks users groups workspace_item_log workspace_acls notebooks clusters instance_pools jobs
+```
+Import objects to `newWS`:
+
+> Note: the `--session` parameter needs to be set to that generated from the export session above. Here it is set as a environment variable $EXPORT_SESSION
+
+```
+python migration_pipeline.py --azure --profile newWS --import-pipeline --set-export-dir $SESSIONS_DIR --notebook-format SOURCE --session $EXPORT_SESSION --keep-tasks users groups workspace_item_log workspace_acls notebooks clusters instance_pools jobs
+```
+
+## Output and Logging
+The `.\databricks` directory in this repo is mounted to the running container. This in combination with the preset $SESSIONS_DIR environment variable (see Usage above) allows the output of the migration pipeline to be available and persisted on the local host.
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diff --git a/docker/databricks/.databrickscfg b/docker/databricks/.databrickscfg
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+[oldWS]
+host = https://<workspace-host>
+token = dapi...
+jobs-api-version = 2.0
+
+[newWS]
+host = https://<workspace-host>
+token = dapi...
+jobs-api-version = 2.0
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diff --git a/docker/dockerfile b/docker/dockerfile
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+FROM python:3
+
+# mount the host dir with this file to the container DBX_DIR on container startup
+ENV DBX_DIR=/databricks
+ENV SESSIONS_DIR=${DBX_DIR}/migrate-sessions
+ENV INSTALL_DIR=/opt
+
+RUN mkdir -p ${SESSIONS_DIR}
+
+# install and configure databricks-cli
+RUN pip install --upgrade pip
+RUN pip install --upgrade databricks-cli
+
+# install and init the migrate utility
+RUN cd ${INSTALL_DIR} \
+    && git clone https://github.com/databrickslabs/migrate.git \
+    && cd migrate \
+    && python setup.py install
+
+WORKDIR ${INSTALL_DIR}/migrate
+ENTRYPOINT [ "/bin/bash" ]
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