Amazon SageMaker Feature Store is announcing a new enhancement, a connector for Apache Spark that makes batch data ingestion easier for customers. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) model features. There are various ways to ingest data into SageMaker Feature Store including the PutRecord API , SageMaker Python SDK’s FeatureGroup.ingest functionality and SageMaker Processing Job .