// 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.

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// 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/

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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!