The Feast Podcast - MLOps Open Source Feature Stores

Feast OSS

A podcast that centers around the Open Source Feature Store Feast. In this series, the creator of Feast Willem Pienaar and the founder of the MLOps Community Demetrios Brinkmann join forces to interview Feast users and each other on the current state of Feast, surprises to implementing a feature store, specific Feast use cases, and Machine Learning Engineering wisdom in general. Feast has become the goto feature store for large companies such as Zulily, Gojek and Cookpad and is also the main feature store being used with the Machine Learning tooling Kubeflow.

Tập

  1. 27/04/2022

    Thinking Beyond the Feature Store and Data Warehouse With Miles Adkins of Snowflake

    Miles is a Partner Sales Engineer at Snowflake and leads the technical go-to-market  and joint product integration strategy for Snowflake's machine learning and data science partners. Miles has spent the entirety of his career in data science and sales engineering positions and specializes in financial markets and technology industries. With the rise of data platforms that now can enable data sharing, and the ability for feature stores to create data pipelines as code, the direction is clear that the "Feature Cloud" concept is heading towards us rapidly. What will this mean for data providers in how they structure and make their data available? Where in the stack will be the processes that manage data provider SLAs. Who will vote on changes to feature definitions? These are just some of the questions that we will need to answer for shared data to power production machine learning use cases. Want to see more about how Feast and Snowflake play well together? Check out this blog post. If you would like to share your story with us about how you are using Feast, get in touch! For more info about feature stores check out the Tecton blog or have a look at the Feast website Join the Tecton/Feast slack channel to speak with like-minded engineers. Connect with Willem on LinkedIn Connect with Miles on LinkedIn Connect with Demetrios on LinkedIn Follow Feast on Twitter Check out Tecton on Twitter

    46 phút
  2. 14/12/2021

    Keeping Feast Simple with Danny Chiao // Feast Feature Store

    Danny Chiao is an engineering lead at Tecton/Feast Inc working on building a next-generation feature store. Previously, Danny was a technical lead at Google working on end to end machine learning problems within Google Workspace, helping build privacy-aware ML platforms / data pipelines and working with research and product teams to deliver large-scale ML powered enterprise functionality. Danny holds a Bachelor’s degree in Computer Science from MIT. In this session Danny tells Demetrios Brinkmann from the MLOps Community how he works with the Feast Community to drive design decisions. He gives some hot takes on how working at Google is much different than working for a startup, especially in the Machine Learning and Feature Store space.  The current Python Centric Feast meets you where you are, whether thats a small team of 2 data scientists, or a platform team at Twitter. The Feast ecosystem is built with scalability and performance capabilities in mind. Danny was conscientious about how with the Python centric Feast approach it is not throwing the kitchen sink at uses from the start. The idea now is to allow teams to add as much complexity as needed once up and running with Feast. If you would like to share your story with us about how you are using Feast, get in touch! For more info about feature stores check out the Tecton blog or have a look at the Feast website Join the Tecton/Feast slack channel to speak with like-minded engineers. Connect with Demetrios On LinkedIn Connect with Danny on LinkedIn Follow Feast on Twitter Check out Tecton on Twitter

    49 phút

Giới Thiệu

A podcast that centers around the Open Source Feature Store Feast. In this series, the creator of Feast Willem Pienaar and the founder of the MLOps Community Demetrios Brinkmann join forces to interview Feast users and each other on the current state of Feast, surprises to implementing a feature store, specific Feast use cases, and Machine Learning Engineering wisdom in general. Feast has become the goto feature store for large companies such as Zulily, Gojek and Cookpad and is also the main feature store being used with the Machine Learning tooling Kubeflow.