Redis? Dynamo? Cassandra? How to choose the right online store for your ML features. | Tecton

Tecton

Redis? Dynamo? Cassandra? How to choose the right online store for your ML features.

apply(meetup) - Feb '22 - 10 minutes

Where should you store your ML features to power real-time ML predictions, and why? In this talk, Tecton's Co-Founder and CTO, Kevin Stumpf, will discuss the tradeoffs made and lessons learned while building the Feature Stores at Uber, Tecton and Feast.

Kevin Stumpf

Co-Founder and CTO

Tecton

Kevin co-founded Tecton where he leads a world-class engineering team that is building a next-generation feature store for operational Machine Learning. Kevin and his co-founders built deep expertise in operational ML platforms while at Uber, where they created the Michelangelo platform that enabled Uber to scale from 0 to 1000's of ML-driven applications in just a few years. Prior to Uber, Kevin founded Dispatcher, with the vision to build the Uber for long-haul trucking. Kevin holds an MBA from Stanford University and a Bachelor's Degree in Computer and Management Sciences from the University of Hagen. Outside of work, Kevin is a passionate long-distance endurance athlete.

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