Chapter 4: Building a Feature Repository with SageMaker Feature Store
A feature store allows you to store features for machine learning (ML) training and inference. It serves as a central repository for teams collaborating on ML use cases to prevent duplicating and confusing efforts when creating features. Amazon SageMaker Feature Store makes storing and accessing training and inference data in the cloud easier, faster, and reproducible. With a SageMaker Feature Store instance built for your ML life cycle, you will be able to manage features, which are always evolving, and use them for training and inference with the confidence that you are using the right ones. You will also be able to collaborate with your colleagues more effectively by having a single source of truth when it comes to ML features.
In this chapter, we will be covering the following topics:
- Understanding the concept of a feature store
- Getting started with SageMaker Feature Store
- Accessing features...
