Databricks Clean Rooms provides privacy-safe collaboration for data, analytics, and AI with multi-cloud and multi-platform support through Delta Sharing. Data clean rooms enable different organizations to collaborate and securely share their datasets in an isolated environment, where they can run joint analyses without directly exposing the raw data to others. Our Databricks Clean Rooms allow analysis through Python and SQL notebooks, so organizations can bring in their own libraries and support any complex methodologies without restriction.

In this session, we’ll show you how to get started on analyzing shared data, and enable advanced use cases with Databricks Clean Rooms, such as working with data across platforms, training ML/AI models, enforcing privacy policies, incorporating proprietary libraries, analyzing unstructured data, auditing clean room actions, and others.

Join us to learn the latest about Databricks Clean Rooms and how it can help your organization.