Review: Building Machine Learning Systems with a Feature Store

This is a concise review of Jim Dowling’s O’Reilly book 'Building Machine Learning Systems with a Feature Store', highlighting its three-part approach (feature preparation, model training, and serving), practical Python examples (batch and real-time systems including an air-quality forecaster, a credit-card fraud detector, and a TikTok-style recommender), exercises using open-source tools and free cloud tiers, and notes on Hopsworks involvement and common pitfalls when taking ML projects to production.