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Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Felix Cheung

Felix Cheung
Engineer, Uber

Felix Cheung is an engineer at Uber and a PMC and committer for Apache Spark. Felix started his journey in the big data space about five years ago with the then state-of-the-art MapReduce. Since then, he’s (re-)built Hadoop clusters from metal more times than he would like, created a Hadoop distro from two dozen or so projects, and juggled hundreds to thousands of cores in the cloud or in data centers. He built a few interesting apps with Apache Spark and ended up contributing to the project. In addition to building stuff, he frequently presents at conferences, meetups, and workshops. He was also a teaching assistant for the first set of edX MOOCs on Apache Spark.

Sessions

11:20am–12:00pm Wednesday, 09/12/2018
Your 10 billion rides are arriving now: Scaling Apache Spark for data pipelines and intelligent systems at Uber
Location: 1A 10 Level: Intermediate
Secondary topics:  Data Integration and Data Pipelines, Transportation and Logistics
Felix Cheung (Uber)
Average rating: ****.
(4.60, 5 ratings)
Did you know that your Uber rides are powered by Apache Spark? Join Felix Cheung to learn how Uber is building its data platform with Apache Spark at enormous scale and discover the unique challenges the company faced and overcame. Read more.