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InfoQ Homepage Presentations Apache Tez: Accelerating Hadoop Query Processing

Apache Tez: Accelerating Hadoop Query Processing

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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.

About the conference

Software is Changing the World. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

Recorded at:

Dec 05, 2013

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