A feature store is a centralized data system for managing, storing, and serving machine learning features for training and inference. It provides consistent, reusable, and versioned features across teams and environments, reducing data leakage and training/serving skew. Feature stores matter because they standardize ML data pipelines, accelerate model development, and improve reliability in production ML systems.