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	<title>Comments on: How Yahoo, Facebook, Amazon &amp; Google Think About Big Data</title>
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		<title>By: Big Data Equals Big Money: EMC Buys Greenplum</title>
		<link>http://gigaom.com/2009/08/15/how-yahoo-facebook-amazon-and-google-think-about-big-data/#comment-221297</link>
		<dc:creator><![CDATA[Big Data Equals Big Money: EMC Buys Greenplum]]></dc:creator>
		<pubDate>Wed, 07 Jul 2010 00:46:15 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=62917#comment-221297</guid>
		<description><![CDATA[&lt;p&gt;[...] as collecting and aggregating data on the web has made companies like Facebook, Amazon and Google darlings of investors, large enterprises are waking up to the potential of the &#8220;big data&#8221; they have locked up [...]&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>[...] as collecting and aggregating data on the web has made companies like Facebook, Amazon and Google darlings of investors, large enterprises are waking up to the potential of the &#8220;big data&#8221; they have locked up [...]</p>
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		<title>By: Venture Capital&#8217;s Data Side Story &#8211; GigaOM</title>
		<link>http://gigaom.com/2009/08/15/how-yahoo-facebook-amazon-and-google-think-about-big-data/#comment-221296</link>
		<dc:creator><![CDATA[Venture Capital&#8217;s Data Side Story &#8211; GigaOM]]></dc:creator>
		<pubDate>Wed, 10 Mar 2010 21:01:34 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=62917#comment-221296</guid>
		<description><![CDATA[&lt;p&gt;[...] How Yahoo, Facebook, Amazon &amp; Google Think About Big Data     : Pivot3, RainStor, Scale Computing  &#160; &#160; &#160; &#160; &#160; &#160;0 [...]&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>[...] How Yahoo, Facebook, Amazon &amp; Google Think About Big Data     : Pivot3, RainStor, Scale Computing  &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;0 [...]</p>
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		<title>By: Check Out a Big Primer on Big Data &#8211; GigaOM</title>
		<link>http://gigaom.com/2009/08/15/how-yahoo-facebook-amazon-and-google-think-about-big-data/#comment-221295</link>
		<dc:creator><![CDATA[Check Out a Big Primer on Big Data &#8211; GigaOM]]></dc:creator>
		<pubDate>Wed, 03 Mar 2010 18:43:11 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=62917#comment-221295</guid>
		<description><![CDATA[&lt;p&gt;[...] Check Out a Big Primer on Big&#160;Data   By Stacey Higginbotham Mar. 3, 2010, 10:41am PST No Comments   &#160; &#160; &#160; &#160; &#160;0   Big data is certainly on the tip of everyone&#8217;s tongues these days as both the amount of data entered online expands and the ways to track objects and people grows with wireless connectivity and sensors. We have both more information being entered and more sources of that information, providing a river of data that somehow we&#8217;re going to capture and use to make money and better decisions. [...]&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>[...] Check Out a Big Primer on Big&nbsp;Data   By Stacey Higginbotham Mar. 3, 2010, 10:41am PST No Comments   &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;0   Big data is certainly on the tip of everyone&#8217;s tongues these days as both the amount of data entered online expands and the ways to track objects and people grows with wireless connectivity and sensors. We have both more information being entered and more sources of that information, providing a river of data that somehow we&#8217;re going to capture and use to make money and better decisions. [...]</p>
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		<title>By: SQL is Dead. Long Live SQL. : Dataspora Blog</title>
		<link>http://gigaom.com/2009/08/15/how-yahoo-facebook-amazon-and-google-think-about-big-data/#comment-221294</link>
		<dc:creator><![CDATA[SQL is Dead. Long Live SQL. : Dataspora Blog]]></dc:creator>
		<pubDate>Wed, 25 Nov 2009 10:58:18 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=62917#comment-221294</guid>
		<description><![CDATA[&lt;p&gt;[...] our left are nabobs from the misnomered NoSQL movement, shaggy kids from  the likes of Facebook and Twitter . They&#8217;ve rebelled against the shackles of relational tables (and bear the scars of MySQL [...]&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>[...] our left are nabobs from the misnomered NoSQL movement, shaggy kids from  the likes of Facebook and Twitter . They&#8217;ve rebelled against the shackles of relational tables (and bear the scars of MySQL [...]</p>
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		<title>By: How Yahoo, Facebook, Amazon &#38; Google Think About Big Data &#171; The Android Life</title>
		<link>http://gigaom.com/2009/08/15/how-yahoo-facebook-amazon-and-google-think-about-big-data/#comment-221293</link>
		<dc:creator><![CDATA[How Yahoo, Facebook, Amazon &#38; Google Think About Big Data &#171; The Android Life]]></dc:creator>
		<pubDate>Tue, 18 Aug 2009 02:31:29 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=62917#comment-221293</guid>
		<description><![CDATA[[...] the original:  How Yahoo, Facebook, Amazon &amp; Google Think About Big Data   var AdBrite_Title_Color = &#039;0000FF&#039;; var AdBrite_Text_Color = &#039;000000&#039;; var [...]]]></description>
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		<title>By: Inside IT Storage &#187; What Yahoo, Google, Amazon and Facebook are doing with their data</title>
		<link>http://gigaom.com/2009/08/15/how-yahoo-facebook-amazon-and-google-think-about-big-data/#comment-221292</link>
		<dc:creator><![CDATA[Inside IT Storage &#187; What Yahoo, Google, Amazon and Facebook are doing with their data]]></dc:creator>
		<pubDate>Mon, 17 Aug 2009 16:11:21 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=62917#comment-221292</guid>
		<description><![CDATA[[...] you think you&#8217;ve got a lot of data, check out GigaOm&#8217;s look at some of the largest data giants ever.  Facebook, for example, is expecting to store its 100 [...]]]></description>
		<content:encoded><![CDATA[<p>[...] you think you&#8217;ve got a lot of data, check out GigaOm&#8217;s look at some of the largest data giants ever.  Facebook, for example, is expecting to store its 100 [...]</p>
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		<title>By: Cloud Droplet #94 Botchagalupe Gets an iPhone is as Good as it Gets &#124; IT Management and Cloud Blog</title>
		<link>http://gigaom.com/2009/08/15/how-yahoo-facebook-amazon-and-google-think-about-big-data/#comment-221291</link>
		<dc:creator><![CDATA[Cloud Droplet #94 Botchagalupe Gets an iPhone is as Good as it Gets &#124; IT Management and Cloud Blog]]></dc:creator>
		<pubDate>Mon, 17 Aug 2009 13:30:28 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=62917#comment-221291</guid>
		<description><![CDATA[[...] How Yahoo, Facebook, Amazon &amp; Google Think About Big Data [...]]]></description>
		<content:encoded><![CDATA[<p>[...] How Yahoo, Facebook, Amazon &amp; Google Think About Big Data [...]</p>
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		<title>By: BotchagalupeMarks for August 16th - 14:20 &#124; IT Management and Cloud Blog</title>
		<link>http://gigaom.com/2009/08/15/how-yahoo-facebook-amazon-and-google-think-about-big-data/#comment-221290</link>
		<dc:creator><![CDATA[BotchagalupeMarks for August 16th - 14:20 &#124; IT Management and Cloud Blog]]></dc:creator>
		<pubDate>Mon, 17 Aug 2009 06:12:02 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=62917#comment-221290</guid>
		<description><![CDATA[[...] How Yahoo, Facebook, Amazon &amp; Google Think About Big Data - Collectively, Yahoo, Facebook, Amazon and Google are rewriting the handbook for big data. Startups intending to reach these proportions must also change their thinking about data, and enterprises need this model for internal deployments as a way to retain an economic edge.The four leading web giants have designed systems from scratch, evidence that workloads have altered, business models are different, and economies have changed &#8212; all demanding a new approach. [...]]]></description>
		<content:encoded><![CDATA[<p>[...] How Yahoo, Facebook, Amazon &amp; Google Think About Big Data &#8211; Collectively, Yahoo, Facebook, Amazon and Google are rewriting the handbook for big data. Startups intending to reach these proportions must also change their thinking about data, and enterprises need this model for internal deployments as a way to retain an economic edge.The four leading web giants have designed systems from scratch, evidence that workloads have altered, business models are different, and economies have changed &mdash; all demanding a new approach. [...]</p>
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		<title>By: Hugo Angelmar</title>
		<link>http://gigaom.com/2009/08/15/how-yahoo-facebook-amazon-and-google-think-about-big-data/#comment-221289</link>
		<dc:creator><![CDATA[Hugo Angelmar]]></dc:creator>
		<pubDate>Mon, 17 Aug 2009 04:50:58 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=62917#comment-221289</guid>
		<description><![CDATA[I was quite impressed when I took a look at Amazon&#039;s Web Services (which implement&#039;s Google&#039;s Map Reduce for some of its operations) and Haystack. The companies above also do a great job sharing the constraints and requirements they address and how they go about solving them. Great brief on the topic Gary.]]></description>
		<content:encoded><![CDATA[<p>I was quite impressed when I took a look at Amazon&#8217;s Web Services (which implement&#8217;s Google&#8217;s Map Reduce for some of its operations) and Haystack. The companies above also do a great job sharing the constraints and requirements they address and how they go about solving them. Great brief on the topic Gary.</p>
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		<title>By: David Robins</title>
		<link>http://gigaom.com/2009/08/15/how-yahoo-facebook-amazon-and-google-think-about-big-data/#comment-221288</link>
		<dc:creator><![CDATA[David Robins]]></dc:creator>
		<pubDate>Sun, 16 Aug 2009 09:42:15 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=62917#comment-221288</guid>
		<description><![CDATA[Great article! This applies to our business at www.binfire.com perfectly. We already have passed a few tetra bytes of storage and our storage needs are growing rapidly. We have decided to look into Amazon EC2 and S3 for future expansion.]]></description>
		<content:encoded><![CDATA[<p>Great article! This applies to our business at <a href="http://www.binfire.com" rel="nofollow">http://www.binfire.com</a> perfectly. We already have passed a few tetra bytes of storage and our storage needs are growing rapidly. We have decided to look into Amazon EC2 and S3 for future expansion.</p>
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