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Sign up today to watch a hands-on feature store workshop 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.

During the workshop, Jack Ploshnick, Customer Data Scientist at Splice Machine, goes 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.

Watch the Workshop


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 

Learn More about Feature Stores on Splice Machine