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Reynold Xin

Reynold Xin
PhD Student, UC Berkeley

Website | Attendee Directory Profile

Reynold Xin is a third-year PhD student in the AMP Lab at UC Berkeley. He leads the development of the Shark project, which won the Best Demo Award at SIGMOD 2012. He is also the recipient of the inaugural Best Demo Award at VLDB 2011 for his work on the CrowdDB system. Before graduate school, he worked on ads infrastructure at Google and distributed databases at IBM. His interests include data management systems, distributed systems, and algorithms for large-scale data processing.

Sessions

9:00am Tuesday, 02/26/2013
An Introduction to the Berkeley Data Analytics Stack (BDAS) Featuring Spark, Spark Streaming, and Shark - Part 1
Beyond Hadoop Ballroom G
Tutorial Please note: to attend, your registration must include Tutorials on Tuesday.
Ion Stoica (UC Berkeley), Matei Zaharia (UC Berkeley), Reynold Xin (UC Berkeley), 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.
1:30pm Tuesday, 02/26/2013
Hands-on with BDAS - Learn Spark, Spark Streaming and Shark via Real Data Analysis - Part 2
Beyond Hadoop Room 204
Tutorial Please note: to attend, your registration must include Tutorials on Tuesday.
Matei Zaharia (UC Berkeley), Reynold Xin (UC Berkeley), Andy Konwinski (UC Berkeley), Tathagata Das (University of California Berkeley), Patrick Wendell (UC Berkeley)
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.
10:10am Wednesday, 02/27/2013
Office Hour with the Berkeley Data Analytics Team
Expo Hall (Table C)
Reynold Xin (UC Berkeley), Matei Zaharia (UC Berkeley), Ion Stoica (UC Berkeley), Andy Konwinski (UC Berkeley), Tathagata Das (University of California Berkeley), Patrick Wendell (UC Berkeley), Shivaram Venkataraman (UC Berkeley)
Average rating: ***..
(3.00, 1 rating)
. Read more.

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