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Amazon SageMaker Feature Store now supports SageMaker Python SDK V3
Amazon SageMaker Feature Store Updates
Amazon SageMaker Feature Store now supports the SageMaker Python SDK v3, introducing new capabilities for Lake Formation access controls and Apache Iceberg table properties configuration. This update enhances the fully managed repository for storing, sharing, and managing features for machine learning models.
New Features
- SageMaker Python SDK v3 Support: Data scientists can now use the modern, modular SDK v3 interfaces to manage feature groups with fine-grained access control and optimized offline storage.
- Lake Formation Integration: Enforce column-level and row-level access control on offline store data through an opt-in setting at feature group creation.
- Iceberg Properties Support: Configure additional table properties such as compaction and snapshot expiration directly through the SDK to optimize storage and query performance.
What to do
- Install SageMaker Python SDK v3.8.0 or later.
- Explore Lake Formation access controls and Iceberg metadata management documentation for more information.
Source: AWS release notes
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