BerriAI / litellm
github.com·3d ago
Developer Tools
Databricks Blog·11d ago·5 min read
Read Restrictions and Catalog Labels: Unifying governance across engines and catalogs
TL;DR
The Apache Iceberg community has introduced read restrictions and catalog labels to enhance data governance across different engines and catalogs. These innovations enable consistent policy enforcement and metadata portability, addressing key challenges in cross-platform data management.
✦ Why It Matters
Evaluate your current data governance strategy and consider implementing read restrictions or catalog labels for better compliance.
Key Takeaways
- Implement read restrictions for trusted engine scenarios.
- Use catalog labels for metadata exchange between federated catalogs.
- Evaluate your data governance policies for compatibility with new features.
- Collaborate with the Iceberg community to address implementation challenges.
How It Works
Read restrictions allow a catalog to evaluate access policies and return specific filtering instructions to trusted engines, which then enforce these restrictions during data access. Catalog labels enable the exchange of key-value metadata between catalogs, allowing them to share governance context without needing to redefine policies.