Building Machine Learning Systems with a Feature Store
by
Jim Dowling
Description: Building Machine Learning Systems with a Feature Store covers the development and operation of batch, real-time, and agentic ML systems using a unified feature store approach. It is intended for data scientists and ML engineers
ISBN: 9781098165222
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I wrote a book on feature stores by O'Reilly. The bad query they wrote in Clickhouse could have been caused by another more error - duplicate rows in materialized feature data. For example, in Hopsworks it prevents duplicate rows by building on primary key uniqueness enforcement in Apache Hudi. In contrast, Delta lake and Iceberg do not enforce primary key constraints, and neither does Clickhouse. So they could have the same bug again due to a bug in feature ingestion - and given they hacked together their feature store, it is not beyond the bounds of possibility.
Reference: https://www.oreilly.com/library/view/building-machine-learni...