Speaker:
Holden Karau
Spark Committer

Holden is a transgender Canadian open source developer advocate with a focus on Apache Spark, BEAM, and related "big data" tools. She is the co-author of Learning Spark, High Performance Spark, and another Spark book that's a bit more out of date. She is a committer on the Apache Spark, SystemML, and Mahout projects.  Prior to joining Google as a Developer Advocate she worked at IBM, Alpine, Databricks, Google (yes this is her second time), Foursquare, and Amazon. 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.

Find Holden Karau at

Talk: End to End ML Without a Data Scientist

Other talks from track ML in Action

Tracks

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Real-world Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.