Shivaram Venkataraman
PhD student, UC Berkeley

Shivaram Venkataraman is a second year PhD student at the University of California, Berkeley and works with Mike Franklin and Ion Stoica at the AMP Lab. His research interests are in design of storage systems and analytics platforms for big-data applications. Before coming to Berkeley, he completed his M.S at the University of Illinois, Urbana-Champaign.

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 (University of California Berkeley)
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.
Expo Hall (Table C)
Reynold Xin (Databricks), Matei Zaharia (Databricks), Ion Stoica (UC Berkeley), Andy Konwinski (UC Berkeley), Tathagata Das (University of California Berkeley), Patrick Wendell (Databricks), Shivaram Venkataraman (UC Berkeley)
Average rating: ***..
(3.00, 1 rating)

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