Amazon SageMaker lakehouse architecture now automates optimization configuration of Apache Iceberg tables
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Amazon SageMaker lakehouse architecture has introduced automated optimization for Apache Iceberg tables stored in Amazon S3, simplifying table management and improving performance.
- Enables catalog-level configuration for automatic table optimization
- Automatically compacts small files and removes unnecessary snapshots
- Reduces metadata overhead and improves query performance
- Provides granular control over optimization strategies
- Available in 15 AWS Regions via Management Console, CLI, and SDKs
Users can enable these optimizations in the AWS Lake Formation console with a one-time Data Catalog configuration, streamlining Apache Iceberg table management and storage cost control.
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