Set Up an Endpoint in Databricks

Control the access to your data by setting up an endpoint connection between Databricks and Data 360.

Available in: All Editions supported by Data 360. See Data 360 edition availability.

USER PERMISSIONS NEEDED
Allow users to manage models in AI Models	Enables you to create, update, and delete models in AI Models.

PERMISSION SETS
Data Cloud Architect	Admin-level access to all AI Models features, including the ability to create, update, delete, and activate models.
Data Cloud User	Restricted access to use a model, including getting predictions and improvements derived from a model.

Before setup, confirm that your Databricks allowlist includes the IP addresses for your region.
Open the Databricks workspace.
In the Admin section, configure the service principal.
Configure the model serving endpoint.

Note Serverless compute is required for model serving and is available with the Premium tier.
Grant the service principal access to the warehouse and tables using roles and the unity catalog.
Generate an access token for the service principal.