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

Vinoth Chandar
Lead/Software Engineer, Apache Hudi

@byte_array

Vinoth Chandar works on data infrastructure at Uber, with a focus on Hadoop and Spark. Vinoth has keen interest in unified architectures for data analytics and processing. Previously, Vinoth was the LinkedIn lead on Voldemort and worked on Oracle server’s replication engine, HPC, and stream processing.

Sessions

1:50pm2:30pm Thursday, March 16, 2017
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.
2:40pm3:20pm Thursday, March 16, 2017
Location: Table B
Vinoth Chandar (Apache Hudi)
Uber has added new incremental processing primitives to existing Hadoop technologies for near-real-time use cases. Stop by Vinoth’s office hour to find out how. Read more.