Registration now closed. The next Feature Store Workshop will be March 31 at 3pm ET/12pm PT.

Join us on February 24 at 12pm PT/3pm ET for a hands-on demonstration where you will learn to use Splice Machine's platform to build a feature store, train your favorite ML models on data from the feature store, and deploy your model as an intelligent table inside of our database.

We will go from raw data to deployed models in production with no duplicated engineering pipelines, no duplicate data, and no endpoints -- but with full security, governance, and transparency.

Registration Closed

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What Is a Feature Store?

A centralized repository of continuously updated, raw and transformed data for machine learning

Requirements:

Petabyte scale
Consistency between online and offline
Millisecond feature serving time
Simultaneous transactional and analytical workloads

Benefits:

Intuitively search for features
Easily build training sets
Quickly serve features to deployed models
End-to-end feature governance