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

Prasanna Rajaperumal
Senior Software Engineer, Uber

Prasanna Rajaperumal is a senior engineer at Uber working on building the next generation Uber data infrastructure and building data systems that scale along with Uber’s hyper growth. Over the last six months, he has been focused on building a library that ingests change logs into large HDFS datasets, optimized for analytical workloads. Prasanna has held various roles at small to large companies building data systems. Previously, he was a software engineer at Cloudera working on building out data infrastructure for indexing and visualizing customer log files.

Sessions

1:50pm–2:30pm Thursday, March 16, 2017
Hoodie: Incremental processing on Hadoop at Uber
Spark & beyond
 Location: LL20 A
Secondary topics:  Platform, Streaming
Vinoth Chandar (Apache Hudi), Prasanna Rajaperumal (Uber)
Uber relies on making data-driven decisions at every level, and most of these decisions can benefit from faster data processing. Vinoth Chandar and Prasanna Rajaperumal introduce Hoodie, a newly open sourced system at Uber that adds new incremental processing primitives to existing Hadoop technologies to provide near-real-time data at 10x reduced cost. Read more.