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

Tathagata Das
Lead developer of Spark Streaming and Software engineer, Databricks

Tathagata Das is an Apache Spark committer and a member of the PMC. He is the lead developer behind Spark Streaming, which he started while a PhD student in the UC Berkeley AMPLab, and is currently employed at Databricks. Prior to Databricks, Tathagata worked at the AMPLab, conducting research about data-center frameworks and networks with Scott Shenker and Ion Stoica.

Sessions

11:50am12:30pm Wednesday, March 15, 2017
Spark & beyond
Location: LL21 C/D
Secondary topics:  Streaming
michael dddd (Databricks), Tathagata Das (Databricks)
Average rating: ****.
(4.29, 7 ratings)
Apache Spark 2.0 introduced the core APIs for Structured Streaming, a new streaming processing engine on Spark SQL. Since then, the Spark team has focused its efforts on making the engine ready for production use. Michael Armbrust and Tathagata Das outline the major features of Structured Streaming, recipes for using them in production, and plans for new features in future releases. Read more.