Speaker: Holden Karau

Spark Committer & Open Source Developer Advocate

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 She is the co-author of Learning Spark, High Performance Spark, and another Spark book that's a bit more out of date.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

2019 Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.