What Is A Feature Store In Machine Learning?

A feature store is a centralized platform for managing and serving the features used in machine learning (ML) models. It provides a systematic and efficient way to manage and serve features, making it easier for data engineers and data scientists to develop and deploy ML models. The feature store ensures that features are consistent, versioned, and easily accessible, which can lead to significant time savings and improved productivity. It also provides a single source of truth for features, reducing the likelihood of errors or inconsistencies in feature engineering. In addition, a feature store enables better governance and compliance by tracking the lineage and usage of features throughout the ML lifecycle.