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Apache Tez: Accelerating Hadoop Query Processing
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by Bikas Saha, Arun Murthy on Dec 05, 2013 | NOTICE: The next QCon is in San Francisco Nov 3-7, Join us!
38:16

Summary
Bikas Saha and Arun Murthy detail the design of Tez, highlighting some of its features and sharing some of the initial results obtained by Hive on Tez.

Bio

Bikas Saha has been working on Apache Hadoop for over a year and is a committer on the project. He has been a key contributor in making Hadoop run natively on Windows and has focused on YARN and the Hadoop compute stack. Arun Murthy is the lead of the MapReduce project in Apache Hadoop where he has been a full-time contributor to Apache Hadoop since its inception in 2006.

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