Amazon SageMaker simplifies data management with automated lakehouse onboarding and metadata ingestion

Today, Amazon SageMaker launches two new capabilities designed to simplify data management and governance. The first capability, automated lakehouse onboarding, allows customers to automatically ingest metadata for datasets, such as Glue Data Catalog tables, into SageMaker Catalog. This occurs when creating a new SageMaker Unified Studio domain or by updating existing domains. It removes the need for manual IAM permissions configuration, metadata ingestion jobs, or scripts, making datasets immediately discoverable and ready for governance, analysis, and collaboration in Amazon SageMaker Unified Studio. The second capability, direct sharing enables data owners to grant access to their assets in SageMaker Catalog to other SageMaker Unified Studio projects without the need for subscription requests. This streamlines cross-team collaboration, accelerates projects, and reduces handoffs, all while maintaining robust governance.

These enhancements are generally available in all AWS Regions where Amazon SageMaker is supported, including: Asia Pacific (Tokyo), Europe (Ireland), US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), South America (São Paulo), Asia Pacific (Seoul), Europe (London), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Asia Pacific (Mumbai), Europe (Paris), Europe (Stockholm).

For more details, visit the Amazon SageMaker documentation.

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Source: Amazon Web Services

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