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	Comments on: SQL &#8211; Explanation of Big Data	</title>
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		<title>
		By: Akmal Chaudhri		</title>
		<link>https://varindersandhu.in/2013/06/14/sql-explanation-of-big-data/#comment-286</link>

		<dc:creator><![CDATA[Akmal Chaudhri]]></dc:creator>
		<pubDate>Thu, 23 Jul 2015 23:42:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.varindersandhu.in/?p=3114#comment-286</guid>

					<description><![CDATA[I have been tracking NoSQL databases for several years, collecting publicly available data on skills and vendors. The market is tiny. Summary of data in section 2: https://speakerdeck.com/abchaudhri/considerations-for-using-nosql-technology-on-your-next-it-project-1 Slides regularly updated as I find new data.]]></description>
			<content:encoded><![CDATA[<p>I have been tracking NoSQL databases for several years, collecting publicly available data on skills and vendors. The market is tiny. Summary of data in section 2: <a href="https://speakerdeck.com/abchaudhri/considerations-for-using-nosql-technology-on-your-next-it-project-1" rel="nofollow ugc">https://speakerdeck.com/abchaudhri/considerations-for-using-nosql-technology-on-your-next-it-project-1</a> Slides regularly updated as I find new data.</p>
]]></content:encoded>
		
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		<title>
		By: Varinder Sandhu		</title>
		<link>https://varindersandhu.in/2013/06/14/sql-explanation-of-big-data/#comment-170</link>

		<dc:creator><![CDATA[Varinder Sandhu]]></dc:creator>
		<pubDate>Wed, 03 Jul 2013 10:35:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.varindersandhu.in/?p=3114#comment-170</guid>

					<description><![CDATA[Hadoop was derived from Google’s MapReduce.

Refer : http://gigaom.com/2012/07/07/why-the-days-are-numbered-for-hadoop-as-we-know-it/]]></description>
			<content:encoded><![CDATA[<p>Hadoop was derived from Google’s MapReduce.</p>
<p>Refer : <a href="http://gigaom.com/2012/07/07/why-the-days-are-numbered-for-hadoop-as-we-know-it/" rel="nofollow ugc">http://gigaom.com/2012/07/07/why-the-days-are-numbered-for-hadoop-as-we-know-it/</a></p>
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