Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
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 Committer and Technical Steering Committee(TSC) member of Presto. He holds a master’s degree from the University of Wisconsin-Madison and a bachelor’s degree from Fudan University.

Sessions

2:40pm–3:20pm Wednesday, March 27, 2019
Real-time analytics at Uber: Bring SQL into everything
Data Engineering & Architecture
 Location: 2004
Secondary topics:  Data Platforms, Storage, Streaming, realtime analytics, and IoT, Transportation and Logistics
Zhenxiao Luo (Twitter)
Average rating: ****.
(4.09, 11 ratings)
From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven analytics to create seamless trip experiences. Zhenxiao Luo explains how Uber supports real-time analytics with deep learning on the fly, without any data copying. Read more.
5:10pm–5:50pm Wednesday, March 27, 2019
Real-time analytics on deep learning: When TensorFlow met Presto at Uber
Data Science, Machine Learning & AI
 Location: 2016
Secondary topics:  Data Platforms, Deep Learning, Streaming, realtime analytics, and IoT
Zhenxiao Luo (Twitter)
Average rating: ****.
(4.00, 4 ratings)
From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven analytics to create seamless trip experiences. Inside Uber, analysts are using deep learning and big data to train models, make predictions, and run analytics in real time. Zhenxiao Luo explains how Uber runs real-time analytics with deep learning. Read more.