Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK
Holden Karau

Holden Karau
Software Engineer, Independent

@holdenkarau

Holden Karau is a transgender Canadian software working in the bay area. Previously, she worked at IBM, Alpine, Databricks, Google (twice), 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 Holden is the coauthor of Learning Spark, High Performance Spark, and another Spark book that’s a bit more out of date.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

16:35–17:15 Thursday, 2/06/2016
Spark & beyond
Location: Capital Suite 13 Level: Intermediate
Holden Karau (Independent)
Average rating: ****.
(4.78, 9 ratings)
Holden Karau walks attendees through a number of common mistakes that can keep your Spark programs from scaling and examines solutions and general techniques useful for moving beyond a proof of concept to production, covering topics like when to use DataFrames, tuning, and working with key skew. Read more.