Batch write and discover records in Amazon SageMaker Feature Store

Extracto de la fuente

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. It provides low-latency online serving for real-time inference, an offline store for historical retention and training feature data, and supports both streaming and batch ingestion patterns. As ML platforms mature, two operational gaps surface repeatedly. First, teams running high-throughput feature pipelines must call PutRecord (which writes a…