© 2019 Strange Loop
It's not all doom and gloom though, we will explore the new APIs and the exciting new things we can do with them with a brief detour into how to work around some of the trade-offs in the new APIs – but mostly focused on the new exciting shiny things we can play with. A basic background with Apache Spark will probably make the talk more exciting, or depressing depending on your point of view, but for those new to Apache Spark just enough to understand whats going will be covered at the start.
Holden Karau is transgender Canadian, Apache Spark Committer, and an active open source contributor. She is a co-author of "Learning Spark" and "High Performance Spark" which she encourages everyone to buy multiple copies of. When not in San Francisco working as a software development engineer at IBM's Spark Technology Center, Holden talks internationally on Spark and holds office hours at coffee shops at home and abroad. She is a Spark committer and makes frequent contributions to Spark, specializing in PySpark and Machine Learning. Prior to IBM she worked on a variety of distributed, search, and classification problems at Alpine, Databricks, Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a Bachelor of Mathematics in Computer Science. Outside of software she enjoys playing with fire, welding, scooters, poutine, and dancing.