Tathagata Das

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

Tathagata Das is a Apache Spark Committer and a member of the PMC. He is the lead developer of behind Spark Streaming, and currently employed at Databricks. Earlier, he has spent in the AMPLab of UC Berkeley, research about datacenter frameworks and networks with professors Scott Shenker and Ion Stoica.

Sessions

Beyond Hadoop Ballroom G
Tutorial Please note: to attend, your registration must include Tutorials on Tuesday.
Ion Stoica (UC Berkeley), Matei Zaharia (Databricks), Reynold Xin (Databricks), Shivaram Venkataraman (UC Berkeley), Andy Konwinski (UC Berkeley), Tathagata Das (Databricks)
Average rating: *****
(5.00, 3 ratings)
An introduction Spark and Shark, two components of the open-source Berkeley Data Analytics Stack (BDAS) in development at UC Berkeley. Spark is a high-speed cluster computing system compatible with Hadoop that can outperform it by up to 100x. Shark is a port of Apache Hive onto Spark that is fully compatible with, and up to 100x faster than, Hive. Read more.
Beyond Hadoop Room 204
Tutorial Please note: to attend, your registration must include Tutorials on Tuesday.
Matei Zaharia (Databricks), Reynold Xin (Databricks), Andy Konwinski (UC Berkeley), Tathagata Das (Databricks), Patrick Wendell (Databricks)
Average rating: ****.
(4.00, 1 rating)
Building on our previous tutorial introducing BDAS, the open-source Berkeley Data Analytics Stack, in this tutorial we will provide each audience member with a Spark/Shark cluster on EC2 and walk through hands-on coding examples. Lessons will cover the Spark and Shark command line interfaces, writing a standalone program, and data clustering using a distributed machine learning algorithm on Spark. Read more.
Expo Hall (Table C)
Reynold Xin (Databricks), Matei Zaharia (Databricks), Ion Stoica (UC Berkeley), Andy Konwinski (UC Berkeley), Tathagata Das (Databricks), Patrick Wendell (Databricks), Shivaram Venkataraman (UC Berkeley)
Average rating: ***..
(3.00, 1 rating)

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