Session
Using Clean Rooms for Privacy-Safe Data Collaboration
Overview
| Experience | In Person |
|---|---|
| Type | Breakout |
| Track | Data Sharing and Collaboration |
| Industry | Media and Entertainment, Retail and CPG - Food, Financial Services |
| Technologies | Delta Sharing |
| Skill Level | Beginner |
| Duration | 40 min |
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.
Session Speakers
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