Tecton

How Robinhood Built a Feature Store Using Feast

apply(meetup) - Aug '21 - 30 minutes

Features are essential to ML models. Therefore, a good feature infrastructure is important to any organization that wants to use ML properly in production. Feast is a great tool for building up your feature infrastructure. However, using Feast in production may need customization of your tech stack, extension for advanced use cases, and improvement of reliability and observability. In this talk, we will share the lessons learned from how Robinhood built a feature store from Feast.

Yuyang (Rand) Xie

Senior Machine Learning Engineer

Robinhood

Rand is a Senior Machine Learning Engineer at Robinhood, focusing on ML serving stack including model serving and feature store. Before Robinhood, Rand worked at Google and was one of the founding engineers of Vertex AI's Feature Store product.

Book a Demo

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

CTA button

Contact Sales

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

CTA button

Request a free trial

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

CTA button