Amazon SageMaker Feature Store connector for Apache Spark for easy batch data ingestion

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.

Source:: Amazon AWS