Feature stores have become an integral part of any production ML platform but building them stays incredibly hard. In this talk, we will look at the key components of a feature store, evaluate the open source technologies that can be plumbed together to build a feature store, key architectural gotchas and common design patterns.
At the end of the talk, the attendees should be able to go back and conceive of a more informed plan to build an in-house feature store.
Nikhil Garg is the co-founder/CEO at Fennel, a startup building realtime data infrastructure for machine learning. Previously, he was at Meta where he ran several teams behind open source PyTorch and before that, he led an org of ~100 or so ML engineers working on personalization... Read More →
Abhay is the co-founder and CTO of Fennel. Prior to starting Fennel, Abhay was a tech lead at Meta and ThoughtSpot where he helped solve some of the industry’s hardest distributed systems problems