Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: 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

11:50am–12:30pm Thursday, 03/31/2016
Spark & Beyond

Location: 210 A/E
Tags: real-time
Tathagata Das (Databricks)
Average rating: ****.
(4.54, 13 ratings)
Tathagata Das introduces Streaming DataFrames, the next evolution of Spark Streaming. Streaming DataFrames unifies an additional dimension: interactive analysis. In addition, it provides enhanced support for out-of-order (delayed) data, zero-latency decision making and integration with existing enterprise data warehouses. Read more.
1:50pm–2:30pm Thursday, 03/31/2016
Ask Me Anything

Location: 211 A-C
Tags: real-time
Reynold Xin (Databricks), Tathagata Das (Databricks), michael dddd (Databricks)
Average rating: ***..
(3.00, 2 ratings)
Join the Spark team for an informal Q&A session. Apache Spark architects Reynold Xin, Tathagata Das, and Michael Armbrust will be on hand to field a wide range of detailed questions. Even if you don’t have a specific question, join in to hear what others are asking. Read more.