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How Shopify Contributed to Scale Feast

apply(meetup) - Aug '21 - 10 minutes

This talk will discuss how Shopify manages large volumes of ML data (billions of rows) using Feast. Shopify decided to adopt Feast to build their ML Feature Store in early 2021. We will speak about how we contributed to Feast to make it more scalable (example of PRs we have contributed at https://github.com/feast-dev/feast/pull/1602)

Matt Delacour

Senior Software Engineer

Shopify

Data Engineer on the ML Platform team. I've been contributing to Feast with Willem for a couple of months and implemented a FeatureStore at Shopify using Feast

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Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

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