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    <title>Support Forums: Message List - About the Performance of Map Reduce Jobs</title>
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    <pubDate>Tue, 21 May 2013 07:31:37 -0400</pubDate>


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        <title>About the Performance of Map Reduce Jobs</title>
        <link>http://www.theserverside.com/discussions/thread.tss?thread_id=63558</link>

        

        
            <description><![CDATA[<p>All of the above, but above anything else: Map/Reduce and Cloud level horizontal scaling does not absolve you from thinking about your code, what it does and its performance implications.</p>]]></description>
        

        <pubDate>Wed, 01 Feb 2012 02:39:05 -0500</pubDate>

        

        <jf:creationDate>Wed, 01 Feb 2012 02:39:05 -0500</jf:creationDate>
        <jf:modificationDate>Wed, 01 Feb 2012 02:39:05 -0500</jf:modificationDate>
        <jf:date>Feb 1, 2012</jf:date>
        <jf:author>Michael Kopp</jf:author>
        <jf:replyCount>0</jf:replyCount>
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    <item>

        <title>About the Performance of Map Reduce Jobs</title>
        <link>http://www.theserverside.com/discussions/thread.tss?thread_id=63558</link>

        

        
            <description><![CDATA[<p>Great article.&nbsp;</p>...]]></description>
        

        <pubDate>Tue, 31 Jan 2012 11:39:59 -0500</pubDate>

        

        <jf:creationDate>Tue, 31 Jan 2012 11:39:59 -0500</jf:creationDate>
        <jf:modificationDate>Tue, 31 Jan 2012 11:39:59 -0500</jf:modificationDate>
        <jf:date>Jan 31, 2012</jf:date>
        <jf:author>Tsolak Petrosian</jf:author>
        <jf:replyCount>1</jf:replyCount>
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    <item>

        <title>About the Performance of Map Reduce Jobs</title>
        <link>http://www.theserverside.com/discussions/thread.tss?thread_id=63558</link>

        

        
            <description><![CDATA[<p>One of the big topics in the BigData community is Map/Reduce. There are a  lot of good blogs  that explain what Map/Reduce does and how it works  logically, so I won&rsquo;t repeat it (look <a...]]></description>
        

        <pubDate>Tue, 31 Jan 2012 09:40:34 -0500</pubDate>

        

        <jf:creationDate>Tue, 31 Jan 2012 09:40:34 -0500</jf:creationDate>
        <jf:modificationDate>Tue, 31 Jan 2012 09:40:34 -0500</jf:modificationDate>
        <jf:date>Jan 31, 2012</jf:date>
        <jf:author>Michael Kopp</jf:author>
        <jf:replyCount>2</jf:replyCount>
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