Databricks Clean Rooms make privacy-safe collaboration possible for data, analytics, and AI — across clouds and platforms. Built on Delta Sharing, Clean Rooms enable organizations to securely share and analyze data together in a governed, isolated environment — without ever exposing raw data. In this session, you’ll learn how to get started with Databricks Clean Rooms and unlock advanced use cases including: Cross-platform collaboration and joint analytics Training machine learning and AI models Enforcing custom privacy policies Analyzing unstructured data Incorporating proprietary libraries in Python and SQL notebooks Auditing clean room activity for compliance Whether you're a data scientist, engineer or data leader, this session will equip you to drive high-value collaboration while maintaining full control over data privacy and governance.

Data is a valuable asset, and companies increasingly want to monetize it while also maintaining a high level of privacy and security. We’ll cover a real world example of data sharing and monetization between beauty tech company L’Oréal and multi-national retailer Carrefour. Learn how BigQuery data clean rooms keep data such as sales, customer segmentations, and stocks safe while also enabling monetization opportunities with third parties. You'll learn the newest innovations in data sharing for BigQuery.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.