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	<title>Comments on: Interview: LexisNexis Goes Open Source for Big Data with HPCC</title>
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	<description>Discovering Gold with Big Data Analytics and Data-Intensive Computing</description>
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		<title>By: Rauf Issa</title>
		<link>http://inside-bigdata.com/interview-lexisnexis-goes-open-source-for-big-data-with-hpcc/#comment-198</link>
		<dc:creator>Rauf Issa</dc:creator>
		<pubDate>Thu, 12 Jan 2012 18:17:22 +0000</pubDate>
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		<description>Very interesting that Reed Elsevier decided to open source their platform. They probably wanted to not get left beyond given success of Hadoop lately. I know programmers that use ECL and they all want to flock to java for job security reasons. But good move by them to open up their platform. Would be good to get more unbiased comparison of Hadoop with HPCC. HPCC is very mature and has nice things in it with its programming model and ECL. Hadoop although is more efficient at distributing computing on commodity hardware and programming model is more flexible (am sure this part is arguable).</description>
		<content:encoded><![CDATA[<p>Very interesting that Reed Elsevier decided to open source their platform. They probably wanted to not get left beyond given success of Hadoop lately. I know programmers that use ECL and they all want to flock to java for job security reasons. But good move by them to open up their platform. Would be good to get more unbiased comparison of Hadoop with HPCC. HPCC is very mature and has nice things in it with its programming model and ECL. Hadoop although is more efficient at distributing computing on commodity hardware and programming model is more flexible (am sure this part is arguable).</p>
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