ML Feature Stores: A Casual Tour 3/3

The Missing Link of ML Infrastructures. Part 3/3

This is part 3 of a series of articles:“ML Feature Stores: A Casual Tour”; Part 1; Part 2;

In part 1 of this tour, we covered the pros and cons of having an ML feature store in your ML organization. In part 2, we took a look at the components and goals of four feature stores, Hopsworks Feature Store, Go-Jek Feast, Uber Michelangelo, and Twitter Feature Libraries/Store.

In part 3 of this tour, we look at more examples of publicly described feature stores:

• Airbnb Zipline Feature Store/ Feature engineering framework.
• Netflix Fact/Feature Store
• Linkedin Feature Management

Precautionary Warning: Feature stores are fast-moving infrastructure components. This post reports on public information available as of 2020–Q1. Please check the respective sources to get the latest evolution of these systems.

Let’s do this.

Airbnb Zipline Feature Store

Motivation

Airbnb has many core ML applications that are continually improving. This constant churn comes with the usual challenges that face the ML researchers. One…