Amazon SageMaker Feature Store now supports the ability to create feature groups in the offline store in Apache Iceberg table format. The offline store contains historical ML features, organized into logical feature groups, and is used for model training and batch inference. Apache Iceberg is an open table format for very large analytic datasets such as the offline store. It manages large collections of files as tables and supports modern analytical data lake operations optimized for usage on Amazon S3.