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Review: Building Machine Learning Systems with a Feature Store

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Review: Building Machine Learning Systems with a Feature Store

This article reviews Jim Dowling's O'Reilly book on building machine learning systems using a feature store approach, based on a course taught at KTH Stockholm. The book addresses the practical challenge of moving from model training on clean data to deploying and maintaining models in production environments with fresh data streams.

Why it matters: Security practitioners developing or deploying machine learning systems should understand feature store architecture and data pipeline management, as these components directly impact model reliability, data integrity, and the security posture of ML systems in production.

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Glossary