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Building Machine Learning Systems with a Feature Store
book

Building Machine Learning Systems with a Feature Store

by Jim Dowling
November 2025
Intermediate to advanced
508 pages
14h 13m
English
O'Reilly Media, Inc.
Book available
Content preview from Building Machine Learning Systems with a Feature Store

About the Author

Jim Dowling is CEO of Hopsworks and a former associate professor at KTH Royal Institute of Technology. He has led the development of Hopsworks, including the first open-source feature store for machine learning. He has a unique background in the intersection of data and AI. For data, he worked at MySQL and later led the development of HopsFS, a distributed filesystem that won the IEEE Scale Prize in 2017. For AI, his PhD introduced collaborative reinforcement learning, and he developed and taught the first course on deep learning in Sweden in 2016. He also released a popular online course on serverless machine learning using Python at serverless-ml.org. This combined background of data and AI helped him realize the vision of a feature store for machine learning based on general-purpose programming languages, rather than the earlier feature store work at Uber on DSLs. He was the first evangelist for feature stores, helping to create the feature store product category through talks at industry conferences (like Data/AI Summit, PyData, and OSDC) and educational articles on feature stores. He is the organizer of the annual feature store summit conference and the featurestore.org community, as well as co-organizer of PyData Stockholm.

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Publisher Resources

ISBN: 9781098165222Errata PageSupplemental Content