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High Performance Feature Serving with Feast on AWS

Posted Jul 14
# Feature Stores
# Open Source
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SPEAKER
Willem Pienaar
Willem Pienaar
Willem Pienaar
Feast Committer and Tech Lead @ Tecton

Willem Pienaar is a tech lead at Tecton, where he leads the Feast open source feature store. Willem created Feast while leading the Data Science Platform team at Gojek. His main focus areas are building data and ML platforms, allowing organizations to scale machine learning and drive decision making. In a previous life, Willem founded and sold a networking startup.

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Willem Pienaar is a tech lead at Tecton, where he leads the Feast open source feature store. Willem created Feast while leading the Data Science Platform team at Gojek. His main focus areas are building data and ML platforms, allowing organizations to scale machine learning and drive decision making. In a previous life, Willem founded and sold a networking startup.

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SUMMARY

In this lightning talk we will showcase how teams can deploy and productionize a feature store on AWS with Feast. We will demonstrate how users can train a machine learning model using historical features from Redshift, deploy the model into production on AWS, then serve fresh feature values to the model using a serverless feature serving stack with DynamoDB.

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