https://doordash.engineering/2020/11/19/building-a-gigascale-ml-feature-store-with-redis/
Building a Gigascale ML Feature Store with Redis, Binary Serialization, String Hashing, and Compression
November 19, 2020 21 Minute Read Data, Machine Learning 36
Arbaz Khan Zohaib Sibte Hassan
“When a company with millions of consumers such as DoorDash builds machine learning (ML) models, the amount of feature data can grow to billions of records with millions actively retrieved during model inference under low latency constraints. These challenges warrant a deeper look into selection and design of a feature store…”