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Learn how to implement privacy-safe data collaboration using Databricks Clean Rooms in this 34-minute conference talk from the Data + AI Summit. Discover how Clean Rooms, built on Delta Sharing technology, enable organizations to securely share and analyze data across clouds and platforms within a governed, isolated environment without exposing raw data. Explore advanced use cases including cross-platform collaboration and joint analytics, training machine learning and AI models, enforcing custom privacy policies, analyzing unstructured data, and incorporating proprietary libraries in Python and SQL notebooks. Master the fundamentals of getting started with Databricks Clean Rooms while understanding how to audit clean room activity for compliance purposes. Gain practical insights for driving high-value data collaboration while maintaining complete control over data privacy and governance, whether you work as a data scientist, engineer, or data leader.
Syllabus
Using Clean Rooms for Privacy-Centric Data Collaboration
Taught by
Databricks