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Create and Manage Databricks Spark Project Workspaces

After workspaces are configured, project owners can enable workspaces within their projects. This feature allows project members to write data to projects and share this data with other users as derived data sources.

Requirement: You must own the project

Prerequisites:

Create a Databricks Spark workspace

Databricks cluster configuration

Before creating a workspace, the cluster must send its configuration to Immuta; to do this, run a simple query on the cluster (i.e., show tables). Otherwise, an error message will occur when you attempt to create a workspace.

Navigate to the Policies tab and enable Project Equalization by clicking the Project Equalization slider to on.
Scroll to the Workspace section and click Create.
Select Databricks from the Workspace Configuration dropdown menu.

Delete a workspace

Scroll to the Workspace section on the policies tab and click the toggle to disable the workspace.
Click Delete in the workspace section.
Choose one of the following options in the modal:
- Purge Generic Workspace Data

Create and Manage Databricks Spark Project Workspaces

Requirement: You must own the project

Prerequisites:

Create a Databricks Spark workspace

Databricks cluster configuration

Navigate to the Policies tab and enable Project Equalization by clicking the Project Equalization slider to on.
Scroll to the Workspace section and click Create.
Select Databricks from the Workspace Configuration dropdown menu.

Delete a workspace

Scroll to the Workspace section on the policies tab and click the toggle to disable the workspace.
Click Delete in the workspace section.
Choose one of the following options in the modal:
- Purge Generic Workspace Data