<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:georss="http://www.georss.org/georss" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:media="http://search.yahoo.com/mrss/"
		>
<channel>
	<title>Comments on: The Data Mining Renaissance</title>
	<atom:link href="http://gigaom.com/2009/04/10/the-data-mining-renaissance/feed/" rel="self" type="application/rss+xml" />
	<link>http://gigaom.com/2009/04/10/the-data-mining-renaissance/</link>
	<description></description>
	<lastBuildDate>Tue, 21 May 2013 19:37:48 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.com/</generator>
	<item>
		<title>By: Wanted: Data Scientists To Turn Information Into Gold: Tech News &#171;</title>
		<link>http://gigaom.com/2009/04/10/the-data-mining-renaissance/#comment-553049</link>
		<dc:creator><![CDATA[Wanted: Data Scientists To Turn Information Into Gold: Tech News &#171;]]></dc:creator>
		<pubDate>Thu, 16 Dec 2010 22:42:41 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=44207#comment-553049</guid>
		<description><![CDATA[[...] ways to build their businesses and become even more relevant to their customers. And with newer data warehousing appliances and management and processing tools such as Hadoop helping companies capture and manage more data, [...]]]></description>
		<content:encoded><![CDATA[<p>[...] ways to build their businesses and become even more relevant to their customers. And with newer data warehousing appliances and management and processing tools such as Hadoop helping companies capture and manage more data, [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Why Is Storage So Hot? Cisco Provides a Clue.: Cloud &#171;</title>
		<link>http://gigaom.com/2009/04/10/the-data-mining-renaissance/#comment-524609</link>
		<dc:creator><![CDATA[Why Is Storage So Hot? Cisco Provides a Clue.: Cloud &#171;]]></dc:creator>
		<pubDate>Fri, 26 Nov 2010 19:01:00 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=44207#comment-524609</guid>
		<description><![CDATA[[...] for $1.7 billion Netezza emerged as a strong company in data warehousing, a core element of the data mining renaissance. IBM, which through acquisitions such as Cognos in business intelligence and SPSS in statistical [...]]]></description>
		<content:encoded><![CDATA[<p>[...] for $1.7 billion Netezza emerged as a strong company in data warehousing, a core element of the data mining renaissance. IBM, which through acquisitions such as Cognos in business intelligence and SPSS in statistical [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Aster Data Offers Free MapReduce IDE To Boost Use of Big Data</title>
		<link>http://gigaom.com/2009/04/10/the-data-mining-renaissance/#comment-208795</link>
		<dc:creator><![CDATA[Aster Data Offers Free MapReduce IDE To Boost Use of Big Data]]></dc:creator>
		<pubDate>Mon, 16 Aug 2010 17:38:03 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=44207#comment-208795</guid>
		<description><![CDATA[&lt;p&gt;[...] The new MapReduce IDE is called Aster Data Developer Express, and it is a point and click visual development environment. Aster, which makes data management software, is hoping that some of the newer companies with copious amounts of data –&#160;such as social networks and mobile apps would start using this IDE, allowing it to cash in&#160;the ongoing data mining renaissance. [...]&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>[...] The new MapReduce IDE is called Aster Data Developer Express, and it is a point and click visual development environment. Aster, which makes data management software, is hoping that some of the newer companies with copious amounts of data –&nbsp;such as social networks and mobile apps would start using this IDE, allowing it to cash in&nbsp;the ongoing data mining renaissance. [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Big Data Equals Big Money: EMC Buys Greenplum</title>
		<link>http://gigaom.com/2009/04/10/the-data-mining-renaissance/#comment-167083</link>
		<dc:creator><![CDATA[Big Data Equals Big Money: EMC Buys Greenplum]]></dc:creator>
		<pubDate>Wed, 07 Jul 2010 00:46:06 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=44207#comment-167083</guid>
		<description><![CDATA[&lt;p&gt;[...] decision to buy Greenplum stems from the fact that enterprises are going through a data mining renaissance. IDC predicts that over the next 10 years the amount of digital data created annually will grow 44 [...]&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>[...] decision to buy Greenplum stems from the fact that enterprises are going through a data mining renaissance. IDC predicts that over the next 10 years the amount of digital data created annually will grow 44 [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Check Out a Big Primer on Big Data &#124; cadiviempresas.com</title>
		<link>http://gigaom.com/2009/04/10/the-data-mining-renaissance/#comment-167082</link>
		<dc:creator><![CDATA[Check Out a Big Primer on Big Data &#124; cadiviempresas.com]]></dc:creator>
		<pubDate>Wed, 03 Mar 2010 20:12:36 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=44207#comment-167082</guid>
		<description><![CDATA[&lt;p&gt;[...] 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 [...]&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>[...] 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 [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Check Out a Big Primer on Big Data &#8211; GigaOM</title>
		<link>http://gigaom.com/2009/04/10/the-data-mining-renaissance/#comment-167081</link>
		<dc:creator><![CDATA[Check Out a Big Primer on Big Data &#8211; GigaOM]]></dc:creator>
		<pubDate>Wed, 03 Mar 2010 18:42:40 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=44207#comment-167081</guid>
		<description><![CDATA[&lt;p&gt;[...] &#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 [...]&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>[...] &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 [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Cloud Tweaks</title>
		<link>http://gigaom.com/2009/04/10/the-data-mining-renaissance/#comment-167080</link>
		<dc:creator><![CDATA[Cloud Tweaks]]></dc:creator>
		<pubDate>Fri, 22 Jan 2010 19:12:07 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=44207#comment-167080</guid>
		<description><![CDATA[&lt;p&gt;Cloud Computing and SaaS is an expected $160 Billion industry by the year 2015.&lt;/p&gt;]]></description>
		<content:encoded><![CDATA[<p>Cloud Computing and SaaS is an expected $160 Billion industry by the year 2015.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Is Hadoop Champion Cloudera the Next Red Hat?</title>
		<link>http://gigaom.com/2009/04/10/the-data-mining-renaissance/#comment-167079</link>
		<dc:creator><![CDATA[Is Hadoop Champion Cloudera the Next Red Hat?]]></dc:creator>
		<pubDate>Sun, 04 Oct 2009 02:40:06 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=44207#comment-167079</guid>
		<description><![CDATA[[...] consume information and in doing so, created a new opportunity to measure and monetize it,&#8221; writes Gary Orenstein. &#8220;The preferred architectural model for this web-derived data warehouse –- a combination of [...]]]></description>
		<content:encoded><![CDATA[<p>[...] consume information and in doing so, created a new opportunity to measure and monetize it,&#8221; writes Gary Orenstein. &#8220;The preferred architectural model for this web-derived data warehouse –- a combination of [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Getting Closer to Real Time With Hadoop&#160;&#124;&#160;Digital Asset Management</title>
		<link>http://gigaom.com/2009/04/10/the-data-mining-renaissance/#comment-167078</link>
		<dc:creator><![CDATA[Getting Closer to Real Time With Hadoop&#160;&#124;&#160;Digital Asset Management]]></dc:creator>
		<pubDate>Mon, 21 Sep 2009 06:49:29 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=44207#comment-167078</guid>
		<description><![CDATA[[...] Asset Management   Hadoop, as a pivotal piece of the data mining renaissance, offers the ability to tackle large data sets in ways that weren’t previously feasible due to [...]]]></description>
		<content:encoded><![CDATA[<p>[...] Asset Management   Hadoop, as a pivotal piece of the data mining renaissance, offers the ability to tackle large data sets in ways that weren’t previously feasible due to [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Getting Closer to Real Time With Hadoop</title>
		<link>http://gigaom.com/2009/04/10/the-data-mining-renaissance/#comment-167077</link>
		<dc:creator><![CDATA[Getting Closer to Real Time With Hadoop]]></dc:creator>
		<pubDate>Sun, 20 Sep 2009 18:01:17 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=44207#comment-167077</guid>
		<description><![CDATA[[...]  &#124; Sunday, September 20, 2009 &#124; 11:00 AM PT &#124; 0 comments    Hadoop, as a pivotal piece of the data mining renaissance, offers the ability to tackle large data sets in ways that weren&#8217;t previously feasible due to [...]]]></description>
		<content:encoded><![CDATA[<p>[...]  | Sunday, September 20, 2009 | 11:00 AM PT | 0 comments    Hadoop, as a pivotal piece of the data mining renaissance, offers the ability to tackle large data sets in ways that weren&#8217;t previously feasible due to [...]</p>
]]></content:encoded>
	</item>
</channel>
</rss>
