- [2018]
- Paypal: Data Pipelines for Real-Time Fraud Prevention at Scale (Mikhail Kourjanski)
- Airbnb: Zipline—Airbnb’s Declarative Feature Engineering Framework (Nikhil Simha and Varant Zanoyan)
- [2019]
- Stripe: Reproducible Machine Learning with Functional Programming (Oscar Boykin)
- Uber: Michelangelo Palette: A Feature Engineering Platform at Uber (Amit Nene)
- Pinterest: Big Data Machine Learning Platform at Pinterest (Yongsheng Wu)
- [2020]
- Meta: F3: Next-generation Feature Framework at Facebook (David Chung & Qiao Yang)
- "Facebook’s Feature Store" (Jun Wan, 2021)
- Criteo: Building FeatureFlow, Criteo’s feature data generation platform (Piyush Narang)
- Meta: F3: Next-generation Feature Framework at Facebook (David Chung & Qiao Yang)
- [2021]
- DoorDash: Building Riviera: A Declarative Real-Time Feature Engineering Framework (Allen Wang & Kunal Shah)
- Spotify: Jukebox : Spotify’s Feature Infrastructure (Aman Khan & Daniel Kristjansson)
- Pinterest: "Streamlining the Pinterest ML Feature Ecosystem" (Se Won Jang & Sihan Wang)
- [2022]
- LinkedIn: Open sourcing Feathr – LinkedIn’s feature store for productive machine learning (David Stein)
- DoorDash: Introducing Fabricator: A Declarative Feature Engineering Framework (Kunal Shah). Fabricator subsumes DoorDash’s previous declarative feature engineering framework Riviera.
- Snap: Speed Up Feature Engineering for Recommendation Systems
- Instacart:
- Coupang Eats: Eats data platform: Empowering businesses with data (Fred Fu, Coupang 2022)
- Airbnb: Chronon - Airbnb’s Feature Engineering Framework (Nikhil Simha). Zipline matured into Chronon, with improved APIs. Chronon is not yet open source.
- Binance:
- Gojek: Feature Engineering at Scale with Dagger and Feast (Ravi Suhag)
- Faire: Building Faire’s new marketplace ranking infrastructure (Sam Kenny)
Created
February 26, 2023 09:00
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