Amazon SageMaker Catalog now supports read and write access to Amazon S3

This article announces that Amazon SageMaker Catalog now supports read and write access to Amazon S3 general purpose buckets, enabling enhanced data collaboration and processing workflows.

• Data scientists can search, process, and share unstructured data with structured datasets
• Data publishers can grant read-only or read and write access to S3 data
• Read and write access allows consumers to process datasets and store results back to S3
• Processed data can be published and automatically discovered by other teams
• Feature maintains security and governance controls over shared data
• Available in all AWS Regions supporting SageMaker Unified Studio

This enhancement streamlines data collaboration and analytics workflows within SageMaker Unified Studio while maintaining data governance and security controls.