<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>The art of Information Engineering &#187; Scalability</title>
	<atom:link href="http://www.grok.in/blog/cats/scalability/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.grok.in</link>
	<description>(ignorance killed the cat, curiosity was framed)</description>
	<lastBuildDate>Tue, 11 Aug 2009 06:30:18 +0000</lastBuildDate>
	
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
			<item>
		<title>MapReduce and Scale</title>
		<link>http://www.grok.in/blog/2008/02/05/mapreduce-and-scale/</link>
		<comments>http://www.grok.in/blog/2008/02/05/mapreduce-and-scale/#comments</comments>
		<pubDate>Mon, 04 Feb 2008 18:44:07 +0000</pubDate>
		<dc:creator>Siddhartha Reddy</dc:creator>
				<category><![CDATA[Scalability]]></category>
		<category><![CDATA[Tools]]></category>
		<category><![CDATA[Hadoop]]></category>
		<category><![CDATA[MapReduce]]></category>

		<guid isPermaLink="false">http://www.grok.in/blog/2008/02/05/mapreduce-and-scale/</guid>
		<description><![CDATA[Lately, I have become extremely interested in MapReduce, specifically the open source implementation of this in Hadoop.
From Wikipedia (MapReduce):
MapReduce is a software framework implemented by Google to support parallel computations over large (greater than 100 terabyte) data sets on unreliable clusters of computers. This framework is largely taken from map and reduce functions commonly used [...]]]></description>
			<content:encoded><![CDATA[<p>Lately, I have become extremely interested in MapReduce, specifically the open source implementation of this in Hadoop.</p>
<p>From Wikipedia (<a title="MapReduce" href="http://en.wikipedia.org/w/index.php?title=MapReduce&amp;oldid=186760084">MapReduce</a>):</p>
<blockquote><p>MapReduce is a software framework implemented by Google to support parallel computations over large (greater than 100 terabyte) data sets on unreliable clusters of computers. This framework is largely taken from map and reduce functions commonly used in functional programming.</p></blockquote>
<p>That description, though quite accurate, does not do justice to MapReduce.</p>
<p><em><strong><a title="MapReduce and Scale - Notes" href="http://www.grok.in/notes/mapreduce-and-scale/">Read on&#8230;</a></strong></em></p>
]]></content:encoded>
			<wfw:commentRss>http://www.grok.in/blog/2008/02/05/mapreduce-and-scale/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
	</channel>
</rss>
