Sep 9–12, 2019
Holden Karau

Holden Karau
Developer Advocate, Google

@holdenkarau

Holden Karau is a transgender Canadian open source developer advocate at Google focusing on Apache Spark, Beam, and related big data tools. Previously, she worked at IBM, Alpine, Databricks, Google (yes, this is her second time), Foursquare, and Amazon. Holden is the coauthor of Learning Spark, High Performance Spark, and another Spark book that’s a bit more out of date. She’s a committer on the Apache Spark, SystemML, and Mahout projects. When not in San Francisco, Holden speaks internationally about different big data technologies (mostly Spark). She was tricked into the world of big data while trying to improve search and recommendation systems and has long since forgotten her original goal. Outside of work, she enjoys playing with fire, riding scooters, and dancing.

Sessions

1:45pm2:25pm Thursday, September 12, 2019
Location: LL21 E/F
Secondary topics:  Machine Learning
Holden Karau (Google), Trevor Grant (IBM)
Modeling is easy—productizing models, less so. Distributed training? Forget about it. Say hello to Kubeflow with Holden Karau and Trevor Grant—a system that makes it easy for data scientists to containerize their models to train and serve on Kubernetes. Read more.

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