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	<title>Comments on: Google Processing 20,000 Terabytes A Day, And Growing</title>
	<atom:link href="http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/</link>
	<description>Startup and Technology News</description>
	<pubDate>Mon, 13 Oct 2008 23:24:51 +0000</pubDate>
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		<title>By: Running Appcelerator on the Google App Engine</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-2158328</link>
		<dc:creator>Running Appcelerator on the Google App Engine</dc:creator>
		<pubDate>Thu, 10 Apr 2008 01:40:10 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-2158328</guid>
		<description>[...] about Google&#8217;s App Engine. How can you help it? If the opportunity to run your apps on a 20,000 terabyte per day cloud computer isn&#8217;t enough, certainly the ability to run Python on that cloud must [...]</description>
		<content:encoded><![CDATA[<p>[...] about Google&#8217;s App Engine. How can you help it? If the opportunity to run your apps on a 20,000 terabyte per day cloud computer isn&#8217;t enough, certainly the ability to run Python on that cloud must [...]</p>
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		<title>By: Yahoo Search Wants to Be More Like Google, Embraces Hadoop</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-2001073</link>
		<dc:creator>Yahoo Search Wants to Be More Like Google, Embraces Hadoop</dc:creator>
		<pubDate>Wed, 20 Feb 2008 22:57:38 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-2001073</guid>
		<description>[...] this to some data from Google on its MapReduce computing infrastructure (it is not quite apples to apples, but Google was [...]</description>
		<content:encoded><![CDATA[<p>[...] this to some data from Google on its MapReduce computing infrastructure (it is not quite apples to apples, but Google was [...]</p>
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		<title>By: Yahoo isi modifica infrastructura motorului de cautare &#8226; Arena IT - Publicație online de IT&#38;C</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-2000892</link>
		<dc:creator>Yahoo isi modifica infrastructura motorului de cautare &#8226; Arena IT - Publicație online de IT&#38;C</dc:creator>
		<pubDate>Wed, 20 Feb 2008 19:14:06 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-2000892</guid>
		<description>[...] this to some data from Google on its MapReduce computing infrastructure (it is not quite apples to apples, but Google was [...]</description>
		<content:encoded><![CDATA[<p>[...] this to some data from Google on its MapReduce computing infrastructure (it is not quite apples to apples, but Google was [...]</p>
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		<title>By: roddy.ie&#187; Blog Archive &#187; Scale of the googleplex</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1997998</link>
		<dc:creator>roddy.ie&#187; Blog Archive &#187; Scale of the googleplex</dc:creator>
		<pubDate>Mon, 18 Feb 2008 20:59:06 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1997998</guid>
		<description>[...] not heard any speculation about the size of Google&#8217;s server farm for a while, but this TechCrunch post makes it easy to have a guess: in September 2007, they used 11,081 Machine-Years, or had [...]</description>
		<content:encoded><![CDATA[<p>[...] not heard any speculation about the size of Google&#8217;s server farm for a while, but this TechCrunch post makes it easy to have a guess: in September 2007, they used 11,081 Machine-Years, or had [...]</p>
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		<title>By: marks.dk &#8211; links for 2008-01-13</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1917621</link>
		<dc:creator>marks.dk &#8211; links for 2008-01-13</dc:creator>
		<pubDate>Sun, 13 Jan 2008 01:30:54 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1917621</guid>
		<description>[...] Google processes 20 petabytes of data each and every day! (tags: google search data technology scalability petabytes) [...]</description>
		<content:encoded><![CDATA[<p>[...] Google processes 20 petabytes of data each and every day! (tags: google search data technology scalability petabytes) [...]</p>
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		<title>By: SmoothSpan Blog</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1915891</link>
		<dc:creator>SmoothSpan Blog</dc:creator>
		<pubDate>Fri, 11 Jan 2008 22:46:52 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1915891</guid>
		<description>&lt;strong&gt;The Big Switch Requires A Big Shift In Thinking And&#160;Strategy...&lt;/strong&gt;

The Big Switch is Nick Carr&#8217;s term for the emergence of Utility Computing in the cloud over software installed in individual data centers or machines.  It&#8217;s also the title of a new book he has out on the topic.  There&#8217;s a lot for ev...</description>
		<content:encoded><![CDATA[<p><strong>The Big Switch Requires A Big Shift In Thinking And&nbsp;Strategy&#8230;</strong></p>
<p>The Big Switch is Nick Carr&#8217;s term for the emergence of Utility Computing in the cloud over software installed in individual data centers or machines.  It&#8217;s also the title of a new book he has out on the topic.  There&#8217;s a lot for ev&#8230;</p>
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		<title>By: Matt Mahoney</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1913657</link>
		<dc:creator>Matt Mahoney</dc:creator>
		<pubDate>Thu, 10 Jan 2008 20:16:13 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1913657</guid>
		<description>Actually 11,081 machine years / (2217 jobs x 395 sec = .0278 years) implies 399,000 machines.  Since this doubles about every 6 months I guess they are up to about 600K machines by now.</description>
		<content:encoded><![CDATA[<p>Actually 11,081 machine years / (2217 jobs x 395 sec = .0278 years) implies 399,000 machines.  Since this doubles about every 6 months I guess they are up to about 600K machines by now.</p>
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		<title>By: Reader</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1912775</link>
		<dc:creator>Reader</dc:creator>
		<pubDate>Thu, 10 Jan 2008 10:08:50 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1912775</guid>
		<description>From these numbers you can deduce that they have over 11 000 machines used for these job (exact number depending on percentage of comoputing power used and machine downtime).</description>
		<content:encoded><![CDATA[<p>From these numbers you can deduce that they have over 11 000 machines used for these job (exact number depending on percentage of comoputing power used and machine downtime).</p>
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		<title>By: Nicholas Bedworth, CTO, DigitalDirect Development Corporation</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1912584</link>
		<dc:creator>Nicholas Bedworth, CTO, DigitalDirect Development Corporation</dc:creator>
		<pubDate>Thu, 10 Jan 2008 06:28:08 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1912584</guid>
		<description>Hadoop is also being used by Barney Pell at Powerset...

Anyone have an idea what the Google datacenter (or perhaps a dataplex) costs to operate on an annual basis?</description>
		<content:encoded><![CDATA[<p>Hadoop is also being used by Barney Pell at Powerset&#8230;</p>
<p>Anyone have an idea what the Google datacenter (or perhaps a dataplex) costs to operate on an annual basis?</p>
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		<title>By: David Litsky</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1912492</link>
		<dc:creator>David Litsky</dc:creator>
		<pubDate>Thu, 10 Jan 2008 05:07:13 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1912492</guid>
		<description>@2 Shawn
“The average MapReduce job runs across a $1 million hardware cluster, not including bandwidth fees, datacenter costs, or staffing.”
Is this the equivalent of saying a car costs $20,000 to own, but excludes the cost of gas, maintenance, and a chauffeur?</description>
		<content:encoded><![CDATA[<p>@2 Shawn<br />
“The average MapReduce job runs across a $1 million hardware cluster, not including bandwidth fees, datacenter costs, or staffing.”<br />
Is this the equivalent of saying a car costs $20,000 to own, but excludes the cost of gas, maintenance, and a chauffeur?</p>
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		<title>By: Boring Market</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1912479</link>
		<dc:creator>Boring Market</dc:creator>
		<pubDate>Thu, 10 Jan 2008 04:59:49 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1912479</guid>
		<description>I think the increase of daily use of Google products has some effect on it. Sure everyone uses Google to well Google, but think about when people use Adsense or Gmail. Don't they then use Google has their primary search engine? I know I do, I switched from Yahoo! to Google after my increase of use in Google products.</description>
		<content:encoded><![CDATA[<p>I think the increase of daily use of Google products has some effect on it. Sure everyone uses Google to well Google, but think about when people use Adsense or Gmail. Don&#8217;t they then use Google has their primary search engine? I know I do, I switched from Yahoo! to Google after my increase of use in Google products.</p>
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		<title>By: Venkat</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1912270</link>
		<dc:creator>Venkat</dc:creator>
		<pubDate>Thu, 10 Jan 2008 01:45:05 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1912270</guid>
		<description>is 20 petabytes/day compressed or uncompressed size?</description>
		<content:encoded><![CDATA[<p>is 20 petabytes/day compressed or uncompressed size?</p>
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		<title>By: Eric Baldeschwieler</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1912068</link>
		<dc:creator>Eric Baldeschwieler</dc:creator>
		<pubDate>Wed, 09 Jan 2008 23:45:44 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1912068</guid>
		<description>&#62; Eric, can you please explain when’s the best scenario to use map-reduce? 

A couple of links:

http://en.wikipedia.org/wiki/MapReduce#Uses
http://open.blogs.nytimes.com/tag/hadoop/</description>
		<content:encoded><![CDATA[<p>&gt; Eric, can you please explain when’s the best scenario to use map-reduce? </p>
<p>A couple of links:</p>
<p><a href="http://en.wikipedia.org/wiki/MapReduce#Uses" rel="nofollow">http://en.wikipedia.org/wiki/MapReduce#Uses</a><br />
<a href="http://open.blogs.nytimes.com/tag/hadoop/" rel="nofollow">http://open.blogs.nytimes.com/tag/hadoop/</a></p>
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		<title>By: ettore</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911963</link>
		<dc:creator>ettore</dc:creator>
		<pubDate>Wed, 09 Jan 2008 22:43:38 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911963</guid>
		<description>To put things into perspective, it would be very interesting to have comparable measures from Yahoo and other Google competitors.</description>
		<content:encoded><![CDATA[<p>To put things into perspective, it would be very interesting to have comparable measures from Yahoo and other Google competitors.</p>
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		<title>By: LiquidSilver</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911923</link>
		<dc:creator>LiquidSilver</dc:creator>
		<pubDate>Wed, 09 Jan 2008 22:10:52 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911923</guid>
		<description>Eric, can you please explain when's the best scenario to use map-reduce? thanks</description>
		<content:encoded><![CDATA[<p>Eric, can you please explain when&#8217;s the best scenario to use map-reduce? thanks</p>
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		<title>By: Eric Baldeschwieler</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911754</link>
		<dc:creator>Eric Baldeschwieler</dc:creator>
		<pubDate>Wed, 09 Jan 2008 20:32:38 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911754</guid>
		<description>The same techniques are in used by many other organizations on large volumes of data.

My team at Yahoo! has invested in making the open source Apache Hadoop map-reduce framework run at very large scale (http://lucene.apache.org/hadoop/).

This is used by Yahoo! and other organizations with similar data analysis needs.  No one is doing as much map-reduce computation as Google, to the best of my knowledge, but others are to running individual jobs at the same scale on similar data sets.</description>
		<content:encoded><![CDATA[<p>The same techniques are in used by many other organizations on large volumes of data.</p>
<p>My team at Yahoo! has invested in making the open source Apache Hadoop map-reduce framework run at very large scale (http://lucene.apache.org/hadoop/).</p>
<p>This is used by Yahoo! and other organizations with similar data analysis needs.  No one is doing as much map-reduce computation as Google, to the best of my knowledge, but others are to running individual jobs at the same scale on similar data sets.</p>
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		<title>By: debloggers.de</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911692</link>
		<dc:creator>debloggers.de</dc:creator>
		<pubDate>Wed, 09 Jan 2008 20:11:31 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911692</guid>
		<description>&lt;strong&gt;Google macht 20.000 Terabytes Traffic am Tag...&lt;/strong&gt;



Google mit all seinen Diensten, also Webseiten und den Suchcrawlern soll am Tag 20.000 Terabytes, dass sind 20 Petabytes, an Traffic verursachen. Echt h&#228;ftig. Um das mal zu vergleichen Youtube soll in einem Monat 27 Petabytes machen. Ob die nun ...</description>
		<content:encoded><![CDATA[<p><strong>Google macht 20.000 Terabytes Traffic am Tag&#8230;</strong></p>
<p>Google mit all seinen Diensten, also Webseiten und den Suchcrawlern soll am Tag 20.000 Terabytes, dass sind 20 Petabytes, an Traffic verursachen. Echt h&#228;ftig. Um das mal zu vergleichen Youtube soll in einem Monat 27 Petabytes machen. Ob die nun &#8230;</p>
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		<title>By: Outdoor Directory</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911642</link>
		<dc:creator>Outdoor Directory</dc:creator>
		<pubDate>Wed, 09 Jan 2008 20:00:18 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911642</guid>
		<description>Thanks Technicle.</description>
		<content:encoded><![CDATA[<p>Thanks Technicle.</p>
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		<title>By: Technicle</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911605</link>
		<dc:creator>Technicle</dc:creator>
		<pubDate>Wed, 09 Jan 2008 19:50:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911605</guid>
		<description>&#62; What’s a comparison the average person could understand?

a) 20PB or 20,000TB == 40,000 disk drives worth of data, assuming 500GB/drive (latest max-capacity per drive is 1TB/drive, ie., 1000GB/drive)

or another perspective -

b) 1,500 disk drives working perfectly in parallel over 24 hours to turn up that much of data, assuming 1.5Gbits/sec SATA drives all working [IMPOSSIBLY] perfectly to their theoretical design limits, ie., some 150MBytes/sec (practically, probably 30%-perfect efficiency, or even less, thus, at least talking about 5,000 drives working in parallel for 3600x24 seconds -- just the data i/o part.)

Very roughly, of course.</description>
		<content:encoded><![CDATA[<p>&gt; What’s a comparison the average person could understand?</p>
<p>a) 20PB or 20,000TB == 40,000 disk drives worth of data, assuming 500GB/drive (latest max-capacity per drive is 1TB/drive, ie., 1000GB/drive)</p>
<p>or another perspective -</p>
<p>b) 1,500 disk drives working perfectly in parallel over 24 hours to turn up that much of data, assuming 1.5Gbits/sec SATA drives all working [IMPOSSIBLY] perfectly to their theoretical design limits, ie., some 150MBytes/sec (practically, probably 30%-perfect efficiency, or even less, thus, at least talking about 5,000 drives working in parallel for 3600&#215;24 seconds &#8212; just the data i/o part.)</p>
<p>Very roughly, of course.</p>
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		<title>By: Technicle</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911523</link>
		<dc:creator>Technicle</dc:creator>
		<pubDate>Wed, 09 Jan 2008 19:22:34 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911523</guid>
		<description>Kevin - sorry.. I just "Copy link location" while mouseover'ing the link... would've pointed it to your blog article but there was no ref of it in http://www.niallkennedy.com/blog/2008/01/google-mapreduce-stats.html#comment94130 where i learned of the link...
my apology! ;-)</description>
		<content:encoded><![CDATA[<p>Kevin - sorry.. I just &#8220;Copy link location&#8221; while mouseover&#8217;ing the link&#8230; would&#8217;ve pointed it to your blog article but there was no ref of it in <a href="http://www.niallkennedy.com/blog/2008/01/google-mapreduce-stats.html#comment94130" rel="nofollow">http://www.niallkennedy.com/bl.....mment94130</a> where i learned of the link&#8230;<br />
my apology! <img src='http://www.techcrunch.com/wp-includes/images/smilies/icon_wink.gif' alt=';-)' class='wp-smiley' /></p>
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		<title>By: Mike</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911495</link>
		<dc:creator>Mike</dc:creator>
		<pubDate>Wed, 09 Jan 2008 19:13:46 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911495</guid>
		<description>The huge costs can't be an advantage over yahoo or ms since MS could afford to have that much power should they want .

The reason Goog is still better than yahoo/ms thus only marginaly is because good still delivers more accurate . 

Somebody needs to come up a new search engine. Goog is the best technology can offer yet we have all the ebay spam and shopping spam coming up with every search.

---------
www.xenbet.com</description>
		<content:encoded><![CDATA[<p>The huge costs can&#8217;t be an advantage over yahoo or ms since MS could afford to have that much power should they want .</p>
<p>The reason Goog is still better than yahoo/ms thus only marginaly is because good still delivers more accurate . </p>
<p>Somebody needs to come up a new search engine. Goog is the best technology can offer yet we have all the ebay spam and shopping spam coming up with every search.</p>
<p>&#8212;&#8212;&#8212;<br />
<a href="http://www.xenbet.com" rel="nofollow">http://www.xenbet.com</a></p>
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		<title>By: Kelli</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911468</link>
		<dc:creator>Kelli</dc:creator>
		<pubDate>Wed, 09 Jan 2008 19:06:54 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911468</guid>
		<description>Love them or hate them, Google is the most impressive computer/tech company. Though I would be really interested to see how they secure their system. I wonder what the private thoughts are from Yahoo and Microsoft when they see this. Does anyone know how this would compare to say a government agency system like monitoring weather etc?</description>
		<content:encoded><![CDATA[<p>Love them or hate them, Google is the most impressive computer/tech company. Though I would be really interested to see how they secure their system. I wonder what the private thoughts are from Yahoo and Microsoft when they see this. Does anyone know how this would compare to say a government agency system like monitoring weather etc?</p>
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		<title>By: Outdoor Directory</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911441</link>
		<dc:creator>Outdoor Directory</dc:creator>
		<pubDate>Wed, 09 Jan 2008 18:58:41 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911441</guid>
		<description>I know these numbers are huge, but can someone put these numbers into context? What's a comparison the average person could understand?</description>
		<content:encoded><![CDATA[<p>I know these numbers are huge, but can someone put these numbers into context? What&#8217;s a comparison the average person could understand?</p>
]]></content:encoded>
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		<title>By: Kevin Burton</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911435</link>
		<dc:creator>Kevin Burton</dc:creator>
		<pubDate>Wed, 09 Jan 2008 18:55:21 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911435</guid>
		<description>By 'real link' I mean the real link to the whitepaper:

http://feedblog.org/2008/01/06/mapreduce-simplified-data-processing-on-large-clusters/

It's pretty good. Mostly a refresher.  

Niall pried out some good info though.

Onward!</description>
		<content:encoded><![CDATA[<p>By &#8216;real link&#8217; I mean the real link to the whitepaper:</p>
<p><a href="http://feedblog.org/2008/01/06/mapreduce-simplified-data-processing-on-large-clusters/" rel="nofollow">http://feedblog.org/2008/01/06.....-clusters/</a></p>
<p>It&#8217;s pretty good. Mostly a refresher.  </p>
<p>Niall pried out some good info though.</p>
<p>Onward!</p>
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		<title>By: Kevin Burton</title>
		<link>http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911432</link>
		<dc:creator>Kevin Burton</dc:creator>
		<pubDate>Wed, 09 Jan 2008 18:54:26 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2008/01/09/google-processing-20000-terabytes-a-day-and-growing/#comment-1911432</guid>
		<description>Your whitepaper is broken...

Here's the real link.  

http://feedblog.org/2008/01/06/mapreduce-simplified-data-processing-on-large-clusters/

Technicle, please don't deep link :) ... I can't view stats on that page :)

Kevin</description>
		<content:encoded><![CDATA[<p>Your whitepaper is broken&#8230;</p>
<p>Here&#8217;s the real link.  </p>
<p><a href="http://feedblog.org/2008/01/06/mapreduce-simplified-data-processing-on-large-clusters/" rel="nofollow">http://feedblog.org/2008/01/06.....-clusters/</a></p>
<p>Technicle, please don&#8217;t deep link <img src='http://www.techcrunch.com/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> &#8230; I can&#8217;t view stats on that page <img src='http://www.techcrunch.com/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> </p>
<p>Kevin</p>
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