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	<title>Xebia Blog &#187; hadoop</title>
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		<title>Thinking MapReduce with Hadoop</title>
		<link>http://blog.xebia.com/2009/07/02/thinking-mapreduce-with-hadoop/</link>
		<comments>http://blog.xebia.com/2009/07/02/thinking-mapreduce-with-hadoop/#comments</comments>
		<pubDate>Thu, 02 Jul 2009 07:05:20 +0000</pubDate>
		<dc:creator>Maarten Winkels</dc:creator>
		<br />
<b>Warning</b>:  Invalid argument supplied for foreach() in <b>/home/blog.xebia.com/www/wp-content/plugins/autometa/autometa.php</b> on line <b>303</b><br />
		<category><![CDATA[General]]></category>
		<category><![CDATA[hadoop]]></category>
		<category><![CDATA[mapreduce]]></category>

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		<description><![CDATA[Apache Hadoop promises "a software platform that lets one easily write and run applications that process vast amounts of data". Sure enough, when reading the documentation, descriptions like:

(input) &#60;k1, v1> -> map -> &#60;k2, v2> -> combine -> &#60;k2, v2> -> reduce -> &#60;k3, v3> (output)

Are simple enough to read and understand, but how do [...]]]></description>
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