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	<title>Comments on: Big Data, Bigger Brains</title>
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	<link>http://corp.klout.com/blog/2011/11/big-data-bigger-brains/</link>
	<description>Measuring Online Influence</description>
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		<title>By: Klout’s Take on Big Data &#124; CIO Pakistan</title>
		<link>http://corp.klout.com/blog/2011/11/big-data-bigger-brains/comment-page-2/#comment-55472</link>
		<dc:creator>Klout’s Take on Big Data &#124; CIO Pakistan</dc:creator>
		<pubDate>Fri, 28 Dec 2012 14:00:49 +0000</pubDate>
		<guid isPermaLink="false">http://corp.klout.com/blog/?p=3533#comment-55472</guid>
		<description><![CDATA[[...] [3] http://corp.klout.com/blog/2011/11/big-data-bigger-brains/ [...]]]></description>
		<content:encoded><![CDATA[<p>[...] [3] http://corp.klout.com/blog/2011/11/big-data-bigger-brains/ [...]</p>
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		<title>By: Find Your Klout &#171; Klout Engineering</title>
		<link>http://corp.klout.com/blog/2011/11/big-data-bigger-brains/comment-page-2/#comment-55381</link>
		<dc:creator>Find Your Klout &#171; Klout Engineering</dc:creator>
		<pubDate>Thu, 06 Dec 2012 22:15:23 +0000</pubDate>
		<guid isPermaLink="false">http://corp.klout.com/blog/?p=3533#comment-55381</guid>
		<description><![CDATA[[...] Klout, we love data and as Dave Mariani, Klout’s VP of Engineering, stated in his latest blog post, we’ve got lots of it! Klout currently uses Hadoop to crunch large volumes of data but what do we [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Klout, we love data and as Dave Mariani, Klout’s VP of Engineering, stated in his latest blog post, we’ve got lots of it! Klout currently uses Hadoop to crunch large volumes of data but what do we [...]</p>
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		<title>By: How Klout Turned Big Data Into Giant Data &#171; The Official Klout Blog &#124; Klout</title>
		<link>http://corp.klout.com/blog/2011/11/big-data-bigger-brains/comment-page-2/#comment-53996</link>
		<dc:creator>How Klout Turned Big Data Into Giant Data &#171; The Official Klout Blog &#124; Klout</dc:creator>
		<pubDate>Thu, 11 Oct 2012 22:38:56 +0000</pubDate>
		<guid isPermaLink="false">http://corp.klout.com/blog/?p=3533#comment-53996</guid>
		<description><![CDATA[[...] November, I wrote a post called Big Data, Bigger Brains. In that post, I wrote about how we were able to make business intelligence (BI) work in a Big Data [...]]]></description>
		<content:encoded><![CDATA[<p>[...] November, I wrote a post called Big Data, Bigger Brains. In that post, I wrote about how we were able to make business intelligence (BI) work in a Big Data [...]</p>
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		<title>By: Beyond Hadoop: Fast Queries from Big Data &#124; :: Metamarkets Group ::</title>
		<link>http://corp.klout.com/blog/2011/11/big-data-bigger-brains/comment-page-2/#comment-53002</link>
		<dc:creator>Beyond Hadoop: Fast Queries from Big Data &#124; :: Metamarkets Group ::</dc:creator>
		<pubDate>Mon, 24 Sep 2012 02:32:31 +0000</pubDate>
		<guid isPermaLink="false">http://corp.klout.com/blog/?p=3533#comment-53002</guid>
		<description><![CDATA[[...] into an in-memory, parallelized database &#8212; be it Oracle Exalytics, Netezza, Greenplum or even Microsoft SQL Server. Occasionally, a traditional database query layer can be bypassed altogether, and summary data [...]]]></description>
		<content:encoded><![CDATA[<p>[...] into an in-memory, parallelized database &#8212; be it Oracle Exalytics, Netezza, Greenplum or even Microsoft SQL Server. Occasionally, a traditional database query layer can be bypassed altogether, and summary data [...]</p>
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		<title>By: Klout’s Take on Big Data &#124; CIOPakistan.com - Business Technology Leadership</title>
		<link>http://corp.klout.com/blog/2011/11/big-data-bigger-brains/comment-page-2/#comment-52818</link>
		<dc:creator>Klout’s Take on Big Data &#124; CIOPakistan.com - Business Technology Leadership</dc:creator>
		<pubDate>Fri, 14 Sep 2012 11:01:08 +0000</pubDate>
		<guid isPermaLink="false">http://corp.klout.com/blog/?p=3533#comment-52818</guid>
		<description><![CDATA[[...] [3] http://corp.klout.com/blog/2011/11/big-data-bigger-brains/ [...]]]></description>
		<content:encoded><![CDATA[<p>[...] [3] <a href="http://corp.klout.com/blog/2011/11/big-data-bigger-brains/" rel="nofollow">http://corp.klout.com/blog/2011/11/big-data-bigger-brains/</a> [...]</p>
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		<title>By: Big Data for Everyone: Using Microsoft’s Familiar BI Tools with Hadoop &#124; UpSearchBI</title>
		<link>http://corp.klout.com/blog/2011/11/big-data-bigger-brains/comment-page-2/#comment-51310</link>
		<dc:creator>Big Data for Everyone: Using Microsoft’s Familiar BI Tools with Hadoop &#124; UpSearchBI</dc:creator>
		<pubDate>Sat, 04 Aug 2012 00:57:14 +0000</pubDate>
		<guid isPermaLink="false">http://corp.klout.com/blog/?p=3533#comment-51310</guid>
		<description><![CDATA[[...] Klout is a great customer that&#8217;s leveraging the Microsoft BI stack on Big Data to provide mission critical analysis for both internal users as well as to its customers. In fact, Dave Mariani, the VP of Engineering at Klout has taken some time out to describe how they use our technology. This is recommended viewing not just to see examples of applications possible but also to get a better understanding of how new options complement technology you are already familiar with. Dave also blogged about their approach here. [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Klout is a great customer that&rsquo;s leveraging the Microsoft BI stack on Big Data to provide mission critical analysis for both internal users as well as to its customers. In fact, Dave Mariani, the VP of Engineering at Klout has taken some time out to describe how they use our technology. This is recommended viewing not just to see examples of applications possible but also to get a better understanding of how new options complement technology you are already familiar with. Dave also blogged about their approach here. [...]</p>
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	<item>
		<title>By: Big data market survey: Hadoop solutions - O&#39;Reilly Radar</title>
		<link>http://corp.klout.com/blog/2011/11/big-data-bigger-brains/comment-page-2/#comment-50595</link>
		<dc:creator>Big data market survey: Hadoop solutions - O&#39;Reilly Radar</dc:creator>
		<pubDate>Thu, 12 Jul 2012 23:55:51 +0000</pubDate>
		<guid isPermaLink="false">http://corp.klout.com/blog/?p=3533#comment-50595</guid>
		<description><![CDATA[[...] Microsoft  Microsoft  Database   SQL Server  Deployment options  Software (Windows Server), Cloud (Windows Azure Cloud)  Hadoop  Bundled distribution (Big Data Solution); Hive, Pig  Links  Home page, case study [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Microsoft  Microsoft  Database   SQL Server  Deployment options  Software (Windows Server), Cloud (Windows Azure Cloud)  Hadoop  Bundled distribution (Big Data Solution); Hive, Pig  Links  Home page, case study [...]</p>
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	<item>
		<title>By: JO</title>
		<link>http://corp.klout.com/blog/2011/11/big-data-bigger-brains/comment-page-2/#comment-49772</link>
		<dc:creator>JO</dc:creator>
		<pubDate>Thu, 14 Jun 2012 19:35:00 +0000</pubDate>
		<guid isPermaLink="false">http://corp.klout.com/blog/?p=3533#comment-49772</guid>
		<description><![CDATA[Great article.

How were you able to connect SSAS and MySQL together?]]></description>
		<content:encoded><![CDATA[<p>Great article.</p>
<p>How were you able to connect SSAS and MySQL together?</p>
]]></content:encoded>
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	<item>
		<title>By: seo melbourne services</title>
		<link>http://corp.klout.com/blog/2011/11/big-data-bigger-brains/comment-page-1/#comment-48184</link>
		<dc:creator>seo melbourne services</dc:creator>
		<pubDate>Wed, 09 May 2012 07:42:00 +0000</pubDate>
		<guid isPermaLink="false">http://corp.klout.com/blog/?p=3533#comment-48184</guid>
		<description><![CDATA[nice blog
]]></description>
		<content:encoded><![CDATA[<p>nice blog</p>
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	<item>
		<title>By: Big Data p&#233;ld&#225;k - Kővári Attila szakmai blogja - TechNetKlub</title>
		<link>http://corp.klout.com/blog/2011/11/big-data-bigger-brains/comment-page-1/#comment-48178</link>
		<dc:creator>Big Data p&#233;ld&#225;k - Kővári Attila szakmai blogja - TechNetKlub</dc:creator>
		<pubDate>Wed, 09 May 2012 05:17:12 +0000</pubDate>
		<guid isPermaLink="false">http://corp.klout.com/blog/?p=3533#comment-48178</guid>
		<description><![CDATA[[...] Kacérkodtam a gondolattal, hogy a nyári önkiszolgáló BI workshopon egy hadoop clustrerből is beolvassunk adatokat a PowerPivotba és ennek kapcsán kerestem élő példákat hadoop és PowerPivot integrációra. PowerPivotra és hadoopra nem találtam, viszont Analysis Services-re és haddopra igen. Kettőt is. Az egyik a Yahoo! 24 terás OLAP kockája a másik Klout 35 milliárd soros kockája   Yahoo!A világ legnagyobb ismert OLAP kockája. Mérete 24 terabájt. Forrása egy 2 petabájtos hadoop cluster. Naponta 3,5 milliárd sorral bővül, jelenleg kb. 500 milliárd sort tartalmaz. A lekérdezéseket 7 másodperces válaszidőkkel szolgálja ki. További infó: What&#8217;s so BIG about &#8220;Big Data&#8221;?KLOUTA hálózatelemzéssel foglalkozó cég naponta 350 millió sort tölt az OLAP kockába, mely 35 milliárd sort tartalmaz és 10 másodperces átlagos válaszidővel szolgálja ki az üzleti felhasználókat. Mindezt egy 7000 dolláros szerverről. További infó: Big Data, Bigger Brains [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Kacérkodtam a gondolattal, hogy a nyári önkiszolgáló BI workshopon egy hadoop clustrerből is beolvassunk adatokat a PowerPivotba és ennek kapcsán kerestem élő példákat hadoop és PowerPivot integrációra. PowerPivotra és hadoopra nem találtam, viszont Analysis Services-re és haddopra igen. Kettőt is. Az egyik a Yahoo! 24 terás OLAP kockája a másik Klout 35 milliárd soros kockája   Yahoo!A világ legnagyobb ismert OLAP kockája. Mérete 24 terabájt. Forrása egy 2 petabájtos hadoop cluster. Naponta 3,5 milliárd sorral bővül, jelenleg kb. 500 milliárd sort tartalmaz. A lekérdezéseket 7 másodperces válaszidőkkel szolgálja ki. További infó: What&#8217;s so BIG about &#8220;Big Data&#8221;?KLOUTA hálózatelemzéssel foglalkozó cég naponta 350 millió sort tölt az OLAP kockába, mely 35 milliárd sort tartalmaz és 10 másodperces átlagos válaszidővel szolgálja ki az üzleti felhasználókat. Mindezt egy 7000 dolláros szerverről. További infó: Big Data, Bigger Brains [...]</p>
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