22-25 April 2026

Unlock Unity Catalog: Practical Strategies for Secure, Scalable Data Management

Regular 50 minute session for SQLBits 2026Saturday - 25 Apr 2026 - 14:10 - 15:00 Auditorium

TL; DR

Learn to organize Unity Catalog resources for secure, scalable environments. Get tips on structuring catalogs, managing permissions, handling PII, and applying privacy controls—ideal for data pros seeking actionable data management insights.

Session Details

Designing an effective Unity Catalog structure to maximize data governance is complex. This session guides data professionals through organising Unity Catalog resources - catalogs, schemas, and locations - to build secure, scalable environments.

Learn how to structure catalogs and schemas for robust access control and easy management. Discover when to use external versus managed locations to optimize storage and governance. Gain practical strategies for assigning precise permissions, empowering data product teams to manage assets independently and reduce cross-team dependencies.

The session includes best practices for handling highly confidential and personally identifiable information (PII), including applying strict privacy controls and compliance guardrails. Explore role-based access and data masking techniques to protect sensitive data while enabling appropriate sharing.

By attending, you’ll understand how to balance governance with flexibility, helping your teams work efficiently while maintaining compliance and security. This session is ideal for data professionals seeking actionable Unity Catalog insights to enhance their data management skills.

3 things you'll get out of this session

Understand different Unity Catalog locations to make full use of Unity Catalog user access features.

Assigning permissions to allow data teams to manage their data product independently while still maintaining boundaries between teams, including data governance teams.

Structure high-level resources like catalogs and schemas for easy management across architecture patterns such as Data Mesh.