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Case Studies Building a Scalable Machine Learning Platform Logo Logo

"The H2O integration with Spark gives you the best of both worlds: Data munching in Spark and model training in H2O."

Brammert Ottens
Senior Data Scientist

Use Cases

Scaling ML Platform

Overview of the Challenge

Brammert talks about how to build a machine learning platform that scales to support Booking’s 200 data scientists and 1.5 nights reserved every day. He explains the ML pipeline from data collection, training, to production including model and feature monitoring and discoverability. He shows how is able to scale their experiments to billions of rows of data using H2O and Sparkling Water.