Real Time Analytics on Heterogeneous Data

This talk will present use cases and experiences about running big data architecture for real time use cases in production. Specifically, we focus on Presto, Druid, and Hadoop, where Hadoop Distributed File System serving as scalable storage engine, Presto as interactive query engine, and Druid as real time analytics engine. We will talk about our optimizations and experiences that keep pushing big data technologies to the next level, including reliability, scalability, and performance.

Zhenxiao Luo is Sr. Staff Engineer, 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.