Amazon SageMaker Catalog launches governance for S3 Tables

Amazon SageMaker Catalog integrates with Amazon S3 Tables, making it easy to discover, share, and govern S3 Tables for users to access and query the data with all Apache Iceberg–compatible tools and engines. With Amazon SageMaker Catalog, built on Amazon DataZone, users can securely discover and access approved data and models using semantic search with generative AI–created metadata, or just ask Amazon Q Developer with natural language to find your data.

S3 Tables deliver the first cloud object store with built-in Apache Iceberg support. Data publishers can onboard S3 Tables to SageMaker Lakehouse and enhance their discoverability by adding them to the SageMaker Catalog. Publishers have the flexibility to either directly publish tables or enrich them with valuable business metadata, making it easier for all users to understand and find the data they need. On the consumption side, users can search for relevant tables, request access through a subscription workflow (subject to publisher approval), and leverage this data for advanced analytics and AI development projects. This end-to-end workflow significantly improves data accessibility, governance, and utilization of S3 Tables across the organization.

SageMaker Catalog with S3 Tables support is available in all AWS Regions where Amazon SageMaker is available.

To learn more, visit Amazon SageMaker. Get started with S3 Tables and publish using user documentation.