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Tathagata Das

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

Tathagata Das is a third-year Ph.D. student in the AMP Lab in UC Berkeley, working Scott Shenker and Ion Stoica. He leads the development of the Spark Streaming project. His research interests include datacenter networks and frameworks for large scale data processing. Before graduate school, he has worked as an Assistant Researcher in Microsoft Research Lab India.

Sessions

Hadoop & Beyond Rhinelander South
Tutorial Please note: to attend, your registration must include Tutorials on Monday.
Tathagata Das (Databricks), Haoyuan Li (Alluxio), Ion Stoica (UC Berkeley), Reynold Xin (Databricks), Sameer Agarwal (UC Berkeley)
Average rating: ****.
(4.80, 10 ratings)
An introduction to the open-source Berkeley Data Analytics Stack (BDAS). Spark is a high-speed cluster computing engine that supports rich analytics (e.g. machine learning) and lower-latency processing (e.g. streaming). Tachyon provides in-memory storage, letting Spark and Hadoop jobs share data efficiently. Shark and GraphX provide high-speed Hive SQL queries and graph processing on top of Spark. Read more.

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