Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Andy Konwinski

Andy Konwinski
Founder, Databricks


Andy Konwinski is a founder and VP at Databricks. He has been working on Spark since the early days of the project, starting during his PhD in the UC Berkeley AMPLab, and has contributed as a software engineer to Spark’s performance evaluation components, testing infrastructure, documentation, and more. He was also a creator of the Apache Mesos project, contributed to the Hadoop Job Scheduler, and led the creation of the UC Berkeley AMP Camps and the Spark Summits. Andy coauthored Learning Spark from O’Reilly.


9:00am5:00pm Tuesday, March 14, 2017
Spark & beyond
Location: San Jose Ballroom, Marriott
Secondary topics:  Streaming, Text
Andy Konwinski (Databricks)
Average rating: ****.
(4.43, 7 ratings)
Andy Konwinski introduces you to Apache Spark 2.0 core concepts with a focus on Spark's machine-learning library, using text mining on real-world data as the primary end-to-end use case. Read more.