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MapReduce programming with apache Hadoop

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1 Author(s)
Milind Bhandarkar ; Yahoo! Inc., Hadoop Solutions Architect

Summary form of only given: Apache Hadoop has become the platform of choice for developing large-scale data-intensive applications. In this tutorial, we will discuss design philosophy of Hadoop, describe how to design and develop Hadoop applications and higher-level application frameworks to crunch several terabytes of data, using anywhere from four to 4,000 computers. We will discuss solutions to common problems encountered in maximizing Hadoop application performance. We will also describe several frameworks and utilities developed using Hadoop that increase programmer-productivity and application-performance.

Published in:

Parallel & Distributed Processing (IPDPS), 2010 IEEE International Symposium on

Date of Conference:

19-23 April 2010