AWS Clean Rooms now supports Databricks as a data source

AWS Clean Rooms Updates

AWS Clean Rooms now supports Databricks as a data source, enabling collaboration members and their partners to securely analyze data managed in Databricks without moving or revealing the source data. Members can query a Databricks table shared through Delta Sharing directly in a collaboration. Databricks joins AWS Glue, Snowflake, and Amazon Athena as supported data sources in AWS Clean Rooms.

Previously, members with data in Databricks had to export or replicate it into Amazon S3 to use it as a table in a collaboration, which added pipeline work and an extra copy of the data to govern. Now members can register a Databricks table directly by providing the workspace URL, schema, and table along with a Delta Sharing share, and make it available to a collaboration.

For example, a retailer that manages its customer data in Databricks can collaborate with a media partner on campaign measurement in AWS Clean Rooms, running approved analyses against its Databricks data without first building and maintaining an export to S3.

What to do

• Register your Databricks table directly in AWS Clean Rooms by providing the workspace URL, schema, and table along with a Delta Sharing share.
• Collaborate with partners on campaign measurement in AWS Clean Rooms without moving or revealing the source data.

Source: AWS release notes

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