Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems Book by Jim Dowling

Discover how to architect scalable machine learning systems with this comprehensive guide by Jim Dowling. Learn to design and implement feature stores that power batch processing, real-time inference, and modern LLM applications. Perfect for engineers and data scientists looking to build production-grade ML infrastructure that bridges the gap between data engineering and model deployment. Gain practical insights into managing features across different system architectures and unlock the full potential of your machine learning pipelines.