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Large-Scale Data Processing with MapReduce and PHP

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Large-Scale Data Processing with MapReduce and PHP

· Big Data Zone ·
Free Resource

The open source HPCC Systems platform is a proven, easy to use solution for managing data at scale. Visit our Easy Guide to learn more about this completely free platform, test drive some code in the online Playground, and get started today.

This PHPDay talk from David Zuelke explores data processing with PHP and MapReduce:

The MapReduce framework promises to make computing of large sets of data very easy. The approach offers excellent scalability across many computing nodes, and can easily be integrated with existing systems. This session will give an introduction to the basic techniques and ideas behind MapReduce, followed by hands-on examples using Apache Hadoop, a major implementation of MapReduce, and Hadoop's streaming functionality that allows users to write processing jobs not just in Java, but in any programming language, including PHP.

David Zuelke - Large-Scale Data Processing with MapReduce and PHP - phpday2011 from GrUSP on Vimeo.

Managing data at scale doesn’t have to be hard. Find out how the completely free, open source HPCC Systems platform makes it easier to update, easier to program, easier to integrate data, and easier to manage clusters. Download and get started today.

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