Amazon S3 Tables integration with Amazon SageMaker Lakehouse is now generally available
AWS News Blog
Amazon has announced the general availability of Amazon S3 Tables integration with Amazon SageMaker Lakehouse, providing a unified data access platform for analytics and machine learning workflows.
- Allows access to S3 Tables data across various analytics engines and tools
- Enables querying data from SageMaker Unified Studio using services like Athena, EMR, and Redshift
- Supports joining S3 Tables data with other sources like DynamoDB, Redshift, and third-party databases
- Provides centralized fine-grained access permissions across analytics platforms
- Available in all AWS Regions where S3 Tables are supported
This integration simplifies data management, breaks down data silos, and enables more comprehensive analytics and machine learning workflows.
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