Amazon SageMaker Catalog now exports asset metadata as queryable dataset
News
This article announces that Amazon SageMaker Catalog now exports asset metadata as queryable Apache Iceberg tables through Amazon S3 Tables, enabling data teams to analyze catalog inventory using standard SQL.
- Export catalog asset metadata as queryable Apache Iceberg tables via S3 Tables
- Query inventory without building custom ETL infrastructure for reporting
- Access from Amazon Athena, SageMaker Unified Studio, AI agents, and BI tools
- Includes technical, business metadata, ownership details, and timestamps
- Data partitioned by snapshot_date for time travel queries
- Available in all AWS Regions where SageMaker Catalog is supported
- No additional charge; pay only for S3 Tables storage and Athena queries
- Set retention policies to control storage costs automatically
This feature simplifies catalog analysis by making asset metadata directly queryable without custom infrastructure, enabling data teams to gain insights into their catalog inventory.
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