ABOUT THE TALK: Hamilton is a novel open-source framework for developing and maintaining scalable feature engineering dataflows.
We introduce the framework, discuss its motivations and initial successes at Stitch Fix, showcase its lightweight data lineage and catalog abilities, and share recent extensions that seamlessly integrate it with distributed compute offerings, such as Dask, Ray, and Spark.
ABOUT THE SPEAKER: Elijah Ben Izzy has always enjoyed working at the intersection of math and engineering. He has more recently focused on building tools to make data scientists and researchers more productive.
He built infrastructure to help quantitative researchers efficiently turn ideas into production trading models at Two Sigma and ran the Model Lifecycle team at Stitch Fix.
He is now the CTO at DAGWorks, which aims to solve the problem of building and maintaining complex ETLs for machine learning.
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