Amazon SageMaker Feature Store now supports batch feature writes and record listing
Amazon SageMaker Feature Store adds batch feature writes and record listing capabilities, enabling scalable feature data processing and management
Amazon SageMaker Feature Store is a fully managed capability that simplifies computing, storing, and retrieving features for training and deploying AI models. This update introduces new capabilities for high-throughput feature ingestion, record discovery, and offline store cataloging. Data scientists can now use BatchWriteRecord to write multiple records across multiple feature groups in a single request, and ListRecords to retrieve record identifiers in a feature group page by page. When configuring an offline store, they can also create Glue and Iceberg tables with custom names. These features allow data scientists to ingest features at scale and manage records stored in SageMaker Feature Store without building custom tooling.