Accelerate ML feature pipelines with new capabilities in Amazon SageMaker Feature Store
Amazon SageMaker Feature Store has introduced new capabilities to enhance ML feature pipelines. These updates include native integration with AWS Lake Formation for fine-grained access control and new Apache Iceberg table properties to manage metadata accumulation and reduce storage costs. The enhancements are available through SageMaker Python SDK v3.8.0, aiming to streamline feature data management and cost predictability for machine learning operations. AI
IMPACT Improves efficiency and cost management for ML feature pipelines, potentially accelerating production deployments.