Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Zhenxiao Luo

Zhenxiao Luo
Sr. Staff Engineer, Twitter

Zhenxiao Luo is leading Interactive Query Engines team at Twitter, where he focuses on Druid, Presto, Spark, and Hive. Before joining Twitter, Zhenxiao was running Interactive Analytics team at Uber. He has big data experience at Netflix, Facebook, Cloudera, and Vertica. Zhenxiao is PrestoDB committer. He holds a master’s degree from the University of Wisconsin-Madison and a bachelor’s degree from Fudan University.

Sessions

11:20am12:00pm Wednesday, September 27, 2017
Data engineering, Data Engineering & Architecture
Location: 1A 23/24 Level: Intermediate
Secondary topics:  Geospatial, Logistics, Platform
Zhenxiao Luo (Twitter), Wei Yan (Uber)
Average rating: ****.
(4.43, 7 ratings)
Uber's geospatial data is increasing exponentially as the company grows. As a result, its big data systems must also grow in scalability, reliability, and performance to support business decisions, user recommendations, and experiments for geospatial data. Zhenxiao Luo and Wei Yan explain how Uber runs geospatial analysis efficiently in its big data systems, including Hadoop, Hive, and Presto. Read more.