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ApacheCon is a week of open source goodness straight from the source of the Apache Software Foundation, featuring 15 intense training classes over two days followed by three days of more than 50 sessions by the creators of open source software such as the Apache webserver, Tomcat, Lucene, Wicket and more.


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ApacheCon Session

Programming with Hadoop's Map/Reduce

Map/Reduce is an application framework, which simplifies writing efficient data-intensive (100's of terabytes) applications running on large clusters (1 to 1000's of computers). Hadoop, which is an Apache Lucene subproject, includes both Map/Reduce and a distributed file system that runs on a wide range of platforms. This talk will describe how to use Hadoop Map/Reduce to write (and debug!) efficient scalable applications that can process large amounts of data. It will include discussions of the Java, C++, and Unix text filter interfaces to Hadoop Map/Reduce.