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Building Competing Models Using Apache Spark DataFrames

If you missed Spark Summit, catch this talk from Abdulla about how to build predictive recommendation models and ensure type safety using Apache Spark DataFrames. See how Credit Karma's choice of metric evaluation helps us calibrate models to obtain the best global result, and hear our lessons learned when we scaled our model development environment to handle Terabyte-scale data with thousands of features.

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How Engineering Rotation Programs Can Help Teams Scale

Rotation programs are a powerful way to spread knowledge, invest in engineers' growth, and optimize collaborations. Here, Shawn shares his experience in our pilot Engineering Rotation Program, and how both managers and individual contributors can make the most of rotation programs (and plan ahead for the risks).