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Feathr: LinkedIn's High-performance Feature Store // David Stein // Coffee Sessions #120

Feathr: LinkedIn's High-performance Feature Store // David Stein // Coffee Sessions #120

FromMLOps.community


Feathr: LinkedIn's High-performance Feature Store // David Stein // Coffee Sessions #120

FromMLOps.community

ratings:
Length:
54 minutes
Released:
Sep 2, 2022
Format:
Podcast episode

Description

MLOps Coffee Sessions #120 with David Stein, Senior Staff Software Engineer at LinkedIn, Feathr: LinkedIn's Enterprise-Grade, High-Performance Feature Store co-hosted by Skylar Payne.

// Abstract
When David started building Feathr, Feature Stores did not exist. That was not a term floating around at all. This was definitely one of the OG Feature Stores for sure!  

We hear how the LinkedIn team got to this point, having an open source release, and how they used LinkedIn as an incubator to build a great product.

// Bio
David Stein is a tech lead at LinkedIn working on machine learning feature infrastructure. He is the original architect of Feathr and continues to contribute to its development as well as to other parts of LinkedIn's machine learning platform.

// MLOps Jobs board  
https://mlops.pallet.xyz/jobs

MLOps Swag/Merch
https://mlops-community.myshopify.com/

// Related Links
https://engineering.linkedin.com/blog/2022/open-sourcing-feathr---linkedin-s-feature-store-for-productive-m
* https://github.com/linkedin/feathr
* https://engineering.linkedin.com/blog/2022/open-sourcing-feathr---linkedin-s-feature-store-for-productive-m
* https://azure.microsoft.com/en-us/blog/feathr-linkedin-s-feature-store-is-now-available-on-azure/

--------------- ✌️Connect With Us ✌️ -------------
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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Skylar on LinkedIn: https://www.linkedin.com/in/skylar-payne-766a1988/
Connect with David on LinkedIn: https://www.linkedin.com/in/steindavidj/

Timestamps:
[00:00] Introduction to David Stein
[00:30] Takeaways
[06:58] David and Skylar's reunion
[08:34] Feathr's background
[12:04] Lessons learned in building Feathr
[16:35] Scale of Feathr
[20:25] Systems interaction
[24:15] Standardization
[29:20] Importance and better difference of Feathr
[34:30] Feature Stores' evolution and more generally MLOps
[37:57] Challenges in real-time
[40:09] Going real-time, you're not ready!
[42:24] Use cases strong for real-time unleveraged now
[45:50] Proud about
[47:58] Going back in time
[50:47] Feathr as a separate company?
[52:53] LinkedIn is hiring!
Released:
Sep 2, 2022
Format:
Podcast episode

Titles in the series (100)

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.