Unity Catalog Lakeguard: Secure and Efficient Compute for Your Enterprise
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data and AI Governance |
Industry | Enterprise Technology |
Technologies | DLT, LakeFlow, Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
Modern data workloads span multiple sources — data lakes, databases, apps like Salesforce and services like cloud functions. But as teams scale, secure data access and governance across shared compute becomes critical. In this session, learn how to confidently integrate external data and services into your workloads using Spark and Unity Catalog on Databricks. We'll explore compute options like serverless, clusters, workflows and SQL warehouses, and show how Unity Catalog’s Lakeguard enforces fine-grained governance — even when concurrently sharing compute by multiple users. Walk away ready to choose the right compute model for your team’s needs — without sacrificing security or efficiency.
Session Speakers
IMAGE COMING SOON
Jakob Mund
/Staff Product Manager
Databricks
Scott Van Woudenberg
/Sr. Staff Product Manager
Databricks, Inc.