Cross-account lakehouse governance with Amazon S3 Tables and SageMaker Catalog

This article demonstrates how to implement secure cross-account data sharing and governance using Amazon S3 Tables, SageMaker Catalog, and AWS Lake Formation across three AWS accounts.

• Combines S3 Tables (native Apache Iceberg) with SageMaker Catalog for unified governance
• Eliminates data duplication while maintaining security across multiple AWS accounts
• Three-account architecture: Account A (producer), Account B (governance hub), Account C (consumer)
• Configure cross-account associations and enable LakeHouseDatabase blueprints
• Create project profiles and projects for each account with Lake Formation permissions
• Set up datasources connecting S3 Tables and Glue Catalog tables
• Implement fine-grained column-level access controls via asset filters
• Enable consumers to discover, request, and subscribe to published assets
• Query and join data across accounts using unified SQL editor

This solution enables organizations to securely share data across accounts while maintaining governance controls and eliminating data silos through automated subscription workflows.