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        <title>Big Data. Big Decisions. | InformationWeek</title>
        <link>http://www.informationweek.com/big-data/</link>
        <description>Big Data. Big Decisions. | InformationWeek</description>
        <language></language>
        <copyright>Copyright 2012, UBM TechWeb a division of UBM LLC</copyright>
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            <title><![CDATA[CIO Tough Love: Agility Demands Increasing]]></title>
             <blurb><![CDATA[IT leaders, brace yourself for pain as you push for agility. Business needs are emerging so rapidly that tools don't exist to support them, said CIOs at MIT Sloan CIO Symposium.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE -->
<div class="inlineStoryImage inlineStoryImageRight"> <a href="http://www.informationweek.com/security/attacks/the-syrian-electronic-army-9-things-we-k/240155028"><img src="http://twimgs.com/informationweek/galleries/automated/994/Syrian-Electronic-Army-Tank_01_tn.jpg" alt="The Syrian Electronic Army: 9 Things We Know" title="The Syrian Electronic Army: 9 Things We Know" class="img175" /></a><br /> <span class="inlinelargerView">(click image for larger view)</span><br /> <div class="storyImageTitle">The Syrian Electronic Army: 9 Things We Know</div></div>
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Want to be a transformative CIO? Be prepared for lots of frustration and failure, and try to fail as fast as you can, because the future is coming faster than anybody can imagine. That was the theme of the 10th annual <a href="http://www.mitcio.com/">MIT Sloan CIO Symposium</a>, which took place Wednesday at MIT.
<p>
The boss certainly expects IT to move quickly. "Agility is critical," said Tom Leighton, CEO of Akamai, during a panel on the CEO's perspective and influence on innovation. That comment was echoed by the other CEOs on the panel, Kazuhiro Gomi of NTT America, and BlazeMeter founder and CEO Alon Girmonsky, who put it starkly, "not being agile means you simply die, you simply vanish. You need a process, an ecosystem to support agility."
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/global-cio/interviews/cio-tough-love-agility-demands-increasi/240155483</link>
            <guid>http://www.informationweek.com/big-data/news/global-cio/interviews/cio-tough-love-agility-demands-increasi/240155483</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Michael Fitzgerald]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[cio]]></category>
						<category><![CDATA[ ceo]]></category>
						<category><![CDATA[ mit]]></category>
						<category><![CDATA[ agility]]></category>
						<category><![CDATA[ technology]]></category>
						<category><![CDATA[]]></category>
			            <pubDate>Thu, 23 May 2013 12:27 EDT</pubDate>
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            <title><![CDATA[Wide Data Vs. Big Data]]></title>
             <blurb><![CDATA[Financial services organizations know that they can handle vast amounts of data, since they have been doing it for decades. To succeed with big data initiatives, firms need to think of data's breadth and reach across an organization.]]></blurb>
                    
            <description><![CDATA[
<P>
Rather than thinking about the physical size of data, consider the importance of being able to relate different sets of data. For financial services firms, the complexity isn't found in the need to store more data; it is in how best to link, arbitrate and cleanse all of the data required to support regulatory needs. So, it becomes less about how big the data is and more about its breadth and reach across the organization. The new challenge in the next few years will revolve around managing what could be called Wide Data. </p>
 
<P>

<strong>Regulations Influencing the Wide Data Trend</strong><br>
<P>
In the next two years, regulations will be enforced across a variety of operational and technical areas. The following regulatory requirements highlight the need for investment into strategic data programs:</p>            ]]></description>
            <link>http://www.informationweek.com/big-data/quickview/wide-data-vs-big-data/3423?wc=4</link>
            <guid>http://www.informationweek.com/big-data/quickview/wide-data-vs-big-data/3423?wc=4</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[]]></dc:creator>
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			            <pubDate>Wed, 22 May 2013 13:58 EDT</pubDate>
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            <title><![CDATA[Hadoop 2.0: New Big Data Possibilities]]></title>
             <blurb><![CDATA[Hadoop 2.0 will move beyond batch processing to support interactive, online and streaming applications. But don't let warnings about YARN tie you up in knots.]]></blurb>
                    
            <description><![CDATA[Hadoop 2.0 will be announced within a matter of days, and a new YARN framework component at its core promises to "take Hadoop beyond MapReduce," according to Arun Murthy, chairman of the Apache committee overseeing the release. Moving beyond slow, iterative MapReduce processing is obviously a good thing, but just what are the new possibilities?
<p>
Better SQL querying, graph analysis and stream processing are all on the short list, according to Murthy, a Yahoo veteran who co-founded Hortonworks. He describes YARN (a slightly-off acronym for Yet Another Resource Manager) as a kind of large-scale, distributed operating system for big data applications. As is typical with operating systems, there's some question about what will and what won't work with YARN, but more on that later.
            ]]></description>
            <link>http://www.informationweek.com/big-data/commentary/software/information-management/hadoop-20-new-big-data-possibilities/240155288</link>
            <guid>http://www.informationweek.com/big-data/commentary/software/information-management/hadoop-20-new-big-data-possibilities/240155288</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Doug Henschen]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[Apache Hadoop 2.0]]></category>
						<category><![CDATA[ Arun Murthy]]></category>
						<category><![CDATA[ Hortonworks]]></category>
						<category><![CDATA[ Cloudera Impala]]></category>
						<category><![CDATA[ Pivotal HAWQ]]></category>
						<category><![CDATA[ Hive]]></category>
						<category><![CDATA[ HBase]]></category>
						<category><![CDATA[ MapR]]></category>
						<category><![CDATA[ Spark]]></category>
						<category><![CDATA[ Storm]]></category>
			            <pubDate>Wed, 22 May 2013 09:06 EDT</pubDate>
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            <title><![CDATA[Big Data Tool Mimics Human Problem Solving Technique]]></title>
             <blurb><![CDATA[Case-based reasoning compares real-time information with past cases to provide companies with the best course of action, says Norwegian firm Verdande, maker of CBR product Edge.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE --><div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/slideshows/big-data-analytics/5-big-wishes-for-big-data-deployments/240153214"><img src="http://twimgs.com/informationweek/galleries/automated/981/Big_Hadoop_01_tn.jpg" alt="5 Big Wishes For Big Data Deployments"  title="5 Big Wishes For Big Data Deployments" class="img175" /></a><br /><div class="storyImageTitle">5 Big Wishes For Big Data Deployments</div><span class="inlinelargerView">(click image for larger view and for slideshow)</span></div><!-- /KINDLE EXCLUDE --><p>We humans solve problems every day of our lives. In most cases, we base our decisions on past experiences. Now an emerging technology called <a href="http://en.wikipedia.org/wiki/Case-based_reasoning">case-based reasoning</a> strives to emulate that problem-solving strategy.</p>            ]]></description>
            <link>http://www.informationweek.com/big-data/news/big-data-analytics/big-data-tool-mimics-human-problem-solvi/240155190</link>
            <guid>http://www.informationweek.com/big-data/news/big-data-analytics/big-data-tool-mimics-human-problem-solvi/240155190</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Jeff Bertolucci]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[case based reasoning]]></category>
						<category><![CDATA[ verdande]]></category>
						<category><![CDATA[ analytics]]></category>
						<category><![CDATA[ big data
]]></category>
			            <pubDate>Tue, 21 May 2013 09:06 EDT</pubDate>
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            <title><![CDATA[SAP Steps Up Visual Analytics, Mobile BI]]></title>
             <blurb><![CDATA[SAP's renamed Lumira visual module, mobile upgrades and the Hana platform are uniting the customer experience.]]></blurb>
                    
            <description><![CDATA[Last week's Sapphire Conference marked my fourth since BusinessObjects was acquired by SAP in 2008, and this year's event stands out as one of the most exciting in terms of business analytics developments. Perhaps it's because the company has moved beyond three years of integration and beyond last year's apologies for SAP BusinessObjects 4.0 delays and quality issues. This year, many more customers are live on the latest products.
<p>
SAP's biggest business analytics news was all about visual data discovery and mobile big data. Visual data discovery continues to be one of the hottest segments in business intelligence, as indicated by the buzz around last week's IPO by data-visualization specialist Tableau Software. SAP's big news on this front at Sapphire was the rebranding of its Visual Intelligence product as "Lumira."
            ]]></description>
            <link>http://www.informationweek.com/big-data/commentary/software/business-intelligence/sap-steps-up-visual-analytics-mobile-bi/240155147</link>
            <guid>http://www.informationweek.com/big-data/commentary/software/business-intelligence/sap-steps-up-visual-analytics-mobile-bi/240155147</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Cindi Howson]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[SAP]]></category>
						<category><![CDATA[ BusinessObjects]]></category>
						<category><![CDATA[ Lumira]]></category>
						<category><![CDATA[ Explorer]]></category>
						<category><![CDATA[ Xcelsius]]></category>
						<category><![CDATA[ Bill McDermott]]></category>
						<category><![CDATA[ ebay]]></category>
						<category><![CDATA[ Under Armour]]></category>
						<category><![CDATA[ 49ers]]></category>
						<category><![CDATA[ NBA]]></category>
			            <pubDate>Tue, 21 May 2013 09:06 EDT</pubDate>
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            <title><![CDATA[Dublin Points Big Data Tech At Traffic Jams]]></title>
             <blurb><![CDATA[Ireland's capital teams up with IBM to use real-time data to streamline bus traffic.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE -->
<div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/slideshows/big-data-analytics/5-big-wishes-for-big-data-deployments/240153214"><img src="http://twimgs.com/informationweek/galleries/automated/981/Big_Hadoop_01_tn.jpg" alt="5 Big Wishes For Big Data Deployments" title="5 Big Wishes For Big Data Deployments" class="img175" /></a><br /><div class="storyImageTitle">5 Big Wishes For Big Data Deployments</div><span class="inlinelargerView">(click image for larger view and for slideshow)</span></div>
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<p>The Dublin City Council (DCC), which provides housing, water and transportation services to 1.2 million people, is using big data strategies to help the area's bus traffic move smoothly. </p>
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/big-data-analytics/dublin-points-big-data-tech-at-traffic-j/240155213</link>
            <guid>http://www.informationweek.com/big-data/news/big-data-analytics/dublin-points-big-data-tech-at-traffic-j/240155213</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Jeff Bertolucci]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[Dublin city council]]></category>
						<category><![CDATA[ IBM]]></category>
						<category><![CDATA[ big data]]></category>
						<category><![CDATA[ transportation]]></category>
						<category><![CDATA[ real-time]]></category>
						<category><![CDATA[ bus]]></category>
						<category><![CDATA[ traffic]]></category>
			            <pubDate>Mon, 20 May 2013 11:29 EDT</pubDate>
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            <title><![CDATA[Tableau, Marketo Cash In With Timely IPOs]]></title>
             <blurb><![CDATA[Tableau Software and Marketo ride hot trends to bank millions with IPOs that post big gains in their first day of trading.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE -->
<div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/slideshows/big-data-analytics/5-big-wishes-for-big-data-deployments/240153214"><img src="http://twimgs.com/informationweek/galleries/automated/981/Big_Hadoop_01_tn.jpg" alt="5 Big Wishes For Big Data Deployments"  title="5 Big Wishes For Big Data Deployments" class="img175" /></a><br /><div class="storyImageTitle">5 Big Wishes For Big Data Deployments</div><span class="inlinelargerView">(click image for larger view and for slideshow)</span></div>
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Tableau Software's stock debuted at $31 per share on Friday and it finished the day at $50.75, up 63%. Marketo, too, launched its IPO on Friday and its stock shot up 79% from the opening price of $13 per share to $23.25.
<p>
It was a case of good timing for two companies cashing in on big trends in the technology industry. Investors associate data-visualization player Tableau with big data, but company co-founder Christian Chabot says the company addresses data of any size.
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/software/business-intelligence/tableau-marketo-cash-in-with-timely-ipo/240155204</link>
            <guid>http://www.informationweek.com/big-data/news/software/business-intelligence/tableau-marketo-cash-in-with-timely-ipo/240155204</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Doug Henschen]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[Tableau Software]]></category>
						<category><![CDATA[ Marketo]]></category>
						<category><![CDATA[ Oracle]]></category>
						<category><![CDATA[ IBM Cognos]]></category>
						<category><![CDATA[ MicroStrategy]]></category>
						<category><![CDATA[ QlikTech]]></category>
						<category><![CDATA[ Christian Chabot]]></category>
						<category><![CDATA[ Paul Zolfaghari]]></category>
						<category><![CDATA[ Phil Fernandez]]></category>
						<category><![CDATA[]]></category>
			            <pubDate>Mon, 20 May 2013 10:02 EDT</pubDate>
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            <title><![CDATA[U.K. Has $10 Billion Of Public Data, Study Concludes]]></title>
             <blurb><![CDATA[U.K. needs to plow the valuable public-sector data it collects back into better services and drive economic growth, says study commissioned by the British government.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE --><div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/news/big-data-analytics/20-top-masters-degrees-for-big-data-analytics-professionals/240145673"><img src="http://twimgs.com/informationweek/galleries/automated/934/IntroImage_tn.jpg" alt=" Big Data Analytics Masters Degrees: 20 Top Programs" title=" Big Data Analytics Masters Degrees: 20 Top Programs" class="img175" /></a><br /> <div class="storyImageTitle"> Big Data Analytics Masters Degrees: 20 Top Programs</div> <span class="inlinelargerView">(click image for larger view and for slideshow)</span></div><!-- /KINDLE EXCLUDE --><p>An independent study commissioned by the U.K. government to measure its progress in making use of public-sector data concludes headway is being made -- but that the pace needs to pick up.
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/big-data-analytics/uk-has-10-billion-of-public-data-stu/240155078</link>
            <guid>http://www.informationweek.com/big-data/news/big-data-analytics/uk-has-10-billion-of-public-data-stu/240155078</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Gary Flood]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[Open Data]]></category>
						<category><![CDATA[ Data Strategy Board]]></category>
						<category><![CDATA[ Public Sector Information]]></category>
						<category><![CDATA[ TfL]]></category>
						<category><![CDATA[ Deoloitte]]></category>
						<category><![CDATA[ Stephan Shakespeare]]></category>
						<category><![CDATA[ YouGov]]></category>
						<category><![CDATA[ Google
]]></category>
			            <pubDate>Thu, 16 May 2013 15:11 EDT</pubDate>
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            <title><![CDATA[SAP Vows Hana Is Ready To Run ERP]]></title>
             <blurb><![CDATA[SAP adapts its Business Suite to Hana in record time, but customers may want more proof of success before migrating mission-critical apps.]]></blurb>
                    
            <description><![CDATA[You get the feeling that SAP was bound and determined to announce at this week's <a href="http://www.sapandasug.com/">Sapphire Conference</a> that its core Business Suite applications are ready to run on the Hana in-memory database platform. But for some the question is, just how ready is "ready?"
<p>
It's hard to believe anybody could question Hana's readiness given that SAP has been "preaching about Hana for four years" as company Chairman Hasso Plattner put it in his Thursday keynote.
            ]]></description>
            <link>http://www.informationweek.com/big-data/commentary/software/enterprise-applications/sap-vows-hana-is-ready-to-run-erp/240155017</link>
            <guid>http://www.informationweek.com/big-data/commentary/software/enterprise-applications/sap-vows-hana-is-ready-to-run-erp/240155017</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Doug Henschen]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[SAP Hana]]></category>
						<category><![CDATA[ Business Suite]]></category>
						<category><![CDATA[ Hasso Plattner]]></category>
						<category><![CDATA[ Jim Hagemann Snabe]]></category>
						<category><![CDATA[]]></category>
			            <pubDate>Thu, 16 May 2013 12:02 EDT</pubDate>
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            <title><![CDATA[Big Data Finds 'Zombie Stores']]></title>
             <blurb><![CDATA[Location analytics can help retailers seek and destroy "zombie" emporiums, unprofitable retail outlets.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE -->
<div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/slideshows/big-data-analytics/slideshow-unexpected-big-data-uses-use/240144221"><img
src="http://twimgs.com/informationweek/galleries/automated/925/image1_tn.jpg"
alt="Big Data's Surprising Uses: From Lady Gaga To CIA" title="Big Data's Surprising Uses: From Lady Gaga To CIA" class="img175"
/></a><br /> <div class="storyImageTitle">Big Data's Surprising Uses:
From Lady Gaga To CIA</div> <span class="inlinelargerView">(click image for larger view and for slideshow)</span></div>
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<p>Not all business locations are ideal, of course, and it's not uncommon for retail chains to open, and later close, unprofitable stores. For instance, a company, intent on growing as quickly as possible, may expand into areas that aren't a good fit. Alternatively, a chain's merchandise may be behind the times or simply unappealing to shoppers. </p>
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/big-data-analytics/big-data-finds-zombie-stores/240154933</link>
            <guid>http://www.informationweek.com/big-data/news/big-data-analytics/big-data-finds-zombie-stores/240154933</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Jeff Bertolucci]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[Big data]]></category>
						<category><![CDATA[ location analytics]]></category>
						<category><![CDATA[ Esri]]></category>
						<category><![CDATA[ retail stores]]></category>
						<category><![CDATA[ Simon Thompson]]></category>
						<category><![CDATA[ business intelligence]]></category>
						<category><![CDATA[ BI]]></category>
						<category><![CDATA[ geographic information system]]></category>
						<category><![CDATA[ GIS]]></category>
			            <pubDate>Wed, 15 May 2013 10:51 EDT</pubDate>
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            <title><![CDATA[Big Data Alchemy: Turn Info Into Money]]></title>
             <blurb><![CDATA[Data markets could become a new market category. Here, companies buy, sell or trade data for mutual benefit.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE --><div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/slideshows/big-data-analytics/5-big-wishes-for-big-data-deployments/240153214"><img src="http://twimgs.com/informationweek/galleries/automated/981/Big_Hadoop_01_tn.jpg" alt="5 Big Wishes For Big Data Deployments"  title="5 Big Wishes For Big Data Deployments" class="img175" /></a><br /><div class="storyImageTitle">5 Big Wishes For Big Data Deployments</div><span class="inlinelargerView">(click image for larger view and for slideshow)</span></div>
<!-- /KINDLE EXCLUDE --><p>There's an old aphorism that anything you're not using is costing you money. That's true of data, especially in light of the fact that collecting and storing it isn't cheap. It would make sense, then, for companies to try to wring more value out of the data resident in their systems.</p>            ]]></description>
            <link>http://www.informationweek.com/big-data/commentary/big-data-analytics/big-data-alchemy-turn-info-into-money/240154772</link>
            <guid>http://www.informationweek.com/big-data/commentary/big-data-analytics/big-data-alchemy-turn-info-into-money/240154772</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Ajit Prabhu, John Lucker]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[enterprise data]]></category>
						<category><![CDATA[ big data]]></category>
						<category><![CDATA[ data markets]]></category>
			            <pubDate>Tue, 14 May 2013 09:06 EDT</pubDate>
        </item>
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            <title><![CDATA[Internet Of Things Wake-Up Call For Enterprises]]></title>
             <blurb><![CDATA[Organizations need to plan for the new generation of Internet-enabled devices that may be located anywhere in the world.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE --><div class="inlineStoryImage inlineStoryImageRight">  <a href="http://www.informationweek.com/cloud-computing/infrastructure/more-pioneers-of-cloud-computing/240151032"><img
src="http://twimgs.com/informationweek/galleries/automated/964/Cloud-Computing-Pioneers_promo.jpg"
alt="9 More Cloud Computing Pioneers" title="9 More Cloud Computing Pioneers" class="img175" /></a><br />  <div class="storyImageTitle">9 More Cloud Computing Pioneers</div>  <span class="inlinelargerView">(click image for slideshow)</span> </div>
<!-- /KINDLE EXCLUDE -->In a little over a decade, the <a href="http://en.wikipedia.org/wiki/Internet_of_Things">Internet of Things</a> has evolved from academic concept to business reality, albeit one that's still very much a work in progress. Coined at the Massachusetts Institute of Technology's <a href="http://www.autoidlabs.org/about-us/page.html">Auto-ID Lab</a>, the term originally referred to the concept of radio-frequency identification (RFID) tagging of objects in the physical world.</p>
<p>
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/big-data-analytics/internet-of-things-wakeup-call-for-ente/240154763</link>
            <guid>http://www.informationweek.com/big-data/news/big-data-analytics/internet-of-things-wakeup-call-for-ente/240154763</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Jeff Bertolucci]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[internet of things]]></category>
						<category><![CDATA[ IoT]]></category>
						<category><![CDATA[ MIT]]></category>
						<category><![CDATA[ Auto-ID Lab]]></category>
						<category><![CDATA[ RFID]]></category>
						<category><![CDATA[ Phil Gerskovich]]></category>
						<category><![CDATA[ Zebra Technologies]]></category>
			            <pubDate>Mon, 13 May 2013 14:00 EDT</pubDate>
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            <title><![CDATA[NASA Polar Ice Flyover: One Bumpy Big Data Project]]></title>
             <blurb><![CDATA[Indiana University researchers use data feedback in flight to guide NASA's ambitious airborne survey of Earth's polar ice. But bring a barf bag if you come along.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE --><div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/slideshows/big-data-analytics/slideshow-unexpected-big-data-uses-use/240144221"><img src="http://twimgs.com/informationweek/galleries/automated/925/image1_tn.jpg"
alt="Big Data's Surprising Uses: From Lady Gaga To CIA" title="Big Data's Surprising Uses: From Lady Gaga To CIA" class="img175"/></a><br /> <div class="storyImageTitle">Big Data's Surprising Uses:
From Lady Gaga To CIA</div> <span class="inlinelargerView">(click image for larger view and for slideshow)</span></div><!-- /KINDLE EXCLUDE --><p>Earth's polar regions aren't particularly hospitable to computers or humans. Building an advanced data management and storage system -- one that operates on bumpy flights in frigid weather, no less -- can be a formidable task. </p>
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/big-data-analytics/nasa-polar-ice-flyover-one-bumpy-big-da/240154755</link>
            <guid>http://www.informationweek.com/big-data/news/big-data-analytics/nasa-polar-ice-flyover-one-bumpy-big-da/240154755</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Jeff Bertolucci]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[Indiana University]]></category>
						<category><![CDATA[ polar ice caps]]></category>
						<category><![CDATA[ big data]]></category>
			            <pubDate>Mon, 13 May 2013 11:50 EDT</pubDate>
        </item>
		        <item>
            <title><![CDATA[MetLife Uses NoSQL For Customer Service Breakthrough]]></title>
             <blurb><![CDATA[MetLife uses 10Gen's MongoDB database to quickly integrate disparate data and deliver a consolidated view of the customer.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE -->
<div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/news/big-data-analytics/20-top-masters-degrees-for-big-data-analytics-professionals/240145673"><img src="http://twimgs.com/informationweek/galleries/automated/934/IntroImage_tn.jpg" alt=" Big Data Analytics Masters Degrees: 20 Top Programs" title=" Big Data Analytics Masters Degrees: 20 Top Programs" class="img175" /></a><br /> <div class="storyImageTitle"> Big Data Analytics Masters Degrees: 20 Top Programs</div> <span class="inlinelargerView">(click image for larger view and for slideshow)</span></div>
<!-- /KINDLE EXCLUDE -->
Just about every company with the combination of lots of customers and lots of points of customer interaction aspires to build the proverbial 360-degree customer view. All too many fail, with disparate systems and data being the usual culprit in failed attempts to gain a consolidated customer view.
<p>
Developing an integrated customer view has been on the wish list at insurance giant MetLife for at least 10 years, but it recently took a fresh approach to the challenge by choosing a NoSQL database as the platform for bringing together data from more than 70 separate administrative systems, claims systems and other data sources. It moved from pilot to rollout in 90 days -- breakneck speed in an industry used to measuring IT projects in months and years.
            ]]></description>
            <link>http://www.informationweek.com/big-data/commentary/software/information-management/metlife-uses-nosql-for-customer-service/240154741</link>
            <guid>http://www.informationweek.com/big-data/commentary/software/information-management/metlife-uses-nosql-for-customer-service/240154741</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Doug Henschen]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[MetLife]]></category>
						<category><![CDATA[ 10Gen]]></category>
						<category><![CDATA[ MongoDB]]></category>
						<category><![CDATA[ Gary Hoberman]]></category>
						<category><![CDATA[ Infusion]]></category>
						<category><![CDATA[ 360-degree customer view]]></category>
						<category><![CDATA[ data integration]]></category>
						<category><![CDATA[ The Wall]]></category>
						<category><![CDATA[ Facebook]]></category>
			            <pubDate>Mon, 13 May 2013 10:03 EDT</pubDate>
        </item>
		        <item>
            <title><![CDATA[Did You Really Buy A Snowmobile? Big Data Knows]]></title>
             <blurb><![CDATA[Better data analysis helps banks rile fewer customers while trying to stop credit card fraud.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE --><div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/slideshows/big-data-analytics/slideshow-unexpected-big-data-uses-use/240144221"><img src="http://twimgs.com/informationweek/galleries/automated/925/image1_tn.jpg"
alt="Big Data's Surprising Uses: From Lady Gaga To CIA" title="Big Data's Surprising Uses: From Lady Gaga To CIA" class="img175"/></a><br /> <div class="storyImageTitle">Big Data's Surprising Uses:
From Lady Gaga To CIA</div> <span class="inlinelargerView">(click image for larger view and for slideshow)</span></div><!-- /KINDLE EXCLUDE --><p>Have you ever charged something expensive -- and perhaps out of the ordinary for you -- only to have the transaction rejected by the bank? Not only do these "false positives" annoy consumers, they worry credit card issuers, who fear their customers might switch to a competitor's card. </p>            ]]></description>
            <link>http://www.informationweek.com/big-data/news/big-data-analytics/did-you-really-buy-a-snowmobile-big-dat/240154667</link>
            <guid>http://www.informationweek.com/big-data/news/big-data-analytics/did-you-really-buy-a-snowmobile-big-dat/240154667</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Jeff Bertolucci]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[credit card]]></category>
						<category><![CDATA[ fraud detection]]></category>
						<category><![CDATA[ big data]]></category>
			            <pubDate>Mon, 13 May 2013 09:06 EDT</pubDate>
        </item>
		        <item>
            <title><![CDATA[Teradata to SAP: Our Memory Is Smarter]]></title>
             <blurb><![CDATA[Teradata says its hybrid 'Intelligent Memory' for data warehousing makes more sense than SAP Hana's all-in-memory approach.]]></blurb>
                    
            <description><![CDATA[Teradata on Wednesday introduced a new in-memory database feature that it says offers a practical approach to exploiting random-access memory (RAM). The benefit, it says, is delivering the ultimate in query performance as needed without what it calls the "unnecessary and impractical" cost of an all-in-memory approach.
<p>
Teradata Intelligent Memory, the vendor's new database feature, is clearly being compared to SAP's Hana in-memory database. Teradata and SAP aren't exactly head-to-head competitors, with SAP primarily being an applications vendor and Teradata focusing exclusively on data warehousing. But with SAP thumping its chest about being the industry's fastest-growing database vendor, market leadership, mind share and industry buzz are clearly at stake.
            ]]></description>
            <link>http://www.informationweek.com/big-data/commentary/software/information-management/teradata-to-sap-our-memory-is-smarter/240154486</link>
            <guid>http://www.informationweek.com/big-data/commentary/software/information-management/teradata-to-sap-our-memory-is-smarter/240154486</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Doug Henschen]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[Teradata Intelligent Memory]]></category>
						<category><![CDATA[ SAP Hana]]></category>
						<category><![CDATA[ Scott Gnau]]></category>
						<category><![CDATA[ Hasso Plattner]]></category>
						<category><![CDATA[ Vishal Sikka]]></category>
						<category><![CDATA[ Sybase IQ]]></category>
						<category><![CDATA[]]></category>
			            <pubDate>Thu, 09 May 2013 09:06 EDT</pubDate>
        </item>
		        <item>
            <title><![CDATA[Interop: Open Compute Project To Tackle Network Switching]]></title>
             <blurb><![CDATA[Open Compute Project initiated by Facebook sets its sights on network switching as the next target for open innovation.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE --><div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/hardware/data-centers/a-visit-to-facebooks-desert-data-center/240149810"><img src="http://twimgs.com/informationweek/galleries/automated/957/21_tn.jpg" alt=" Facebook's Futuristic Data Center: Inside Tour"  title=" Facebook's Futuristic Data Center: Inside Tour" class="img175" /></a><br /><div class="storyImageTitle"> Facebook's Futuristic Data Center: Inside Tour</div><span class="inlinelargerView">(click image for larger view and for slideshow)</span></div><!-- /KINDLE EXCLUDE -->Since Facebook kicked off the Open Compute Project by donating its overall data center design, the OCP Foundation has been chipping away at open sourcing designs for all of the critical components that go into the data center. Next up: network switches.
<p>
In a keynote speech at <a href="http://www.interop.com" >Interop</a>, Facebook VP of hardware design and supply chain Frank Frankovsky reviewed <a href="http://www.informationweek.com/hardware/data-centers/facebooks-frank-frankovsky-open-compute/240154184" >two years of progress at expanding the scope of the project</a>, which now includes open designs for server racks and cold storage designs based on how Facebook handles your old photos.
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/hardware-architectures/interop-open-compute-project-to-tackle/240154452</link>
            <guid>http://www.informationweek.com/big-data/news/hardware-architectures/interop-open-compute-project-to-tackle/240154452</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[David F. Carr]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[open compute project]]></category>
						<category><![CDATA[ facebook]]></category>
						<category><![CDATA[ data center]]></category>
						<category><![CDATA[ cloud]]></category>
			            <pubDate>Wed, 08 May 2013 15:10 EDT</pubDate>
        </item>
		        <item>
            <title><![CDATA[Big Data Firm Chronicles Your Online, Offline Lives]]></title>
             <blurb><![CDATA[Startup Versium Analytics assembles detailed profiles of consumers and businesses to help marketers hone their pitches.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE -->
<div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/slideshows/big-data-analytics/5-big-wishes-for-big-data-deployments/240153214"><img src="http://twimgs.com/informationweek/galleries/automated/981/Big_Hadoop_01_tn.jpg" alt="5 Big Wishes For Big Data Deployments" title="5 Big Wishes For Big Data Deployments" class="img175" /></a><br /><div class="storyImageTitle">5 Big Wishes For Big Data Deployments</div><span class="inlinelargerView">(click image for larger view and for slideshow)</span></div>
<!-- /KINDLE EXCLUDE -->
<p>There are traces of your existence everywhere, both online and off. Much of this disparate data, including your email addresses, credit rating, vehicle make and model, and whether you prefer gardening to scuba diving, is publicly available, but marketers may not always know where to find it.</p>
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/big-data-analytics/big-data-firm-chronicles-your-online-of/240154321</link>
            <guid>http://www.informationweek.com/big-data/news/big-data-analytics/big-data-firm-chronicles-your-online-of/240154321</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Jeff Bertolucci]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[Big data]]></category>
						<category><![CDATA[ versium analytics]]></category>
						<category><![CDATA[ marketing]]></category>
						<category><![CDATA[ consumer data]]></category>
						<category><![CDATA[ personal data]]></category>
			            <pubDate>Tue, 07 May 2013 10:45 EDT</pubDate>
        </item>
		        <item>
            <title><![CDATA[In-Q-Tel Invests In Weather Data Analysis]]></title>
             <blurb><![CDATA[Venture investment firm strikes deal to give U.S. intelligence agencies access to extensive database of weather data.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE -->
<div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/government/mobile/10-breakthrough-darpa-technologies/240153857"><img src="http://twimgs.com/informationweek/galleries/automated/985/TERN_01_tn.jpg" alt="10 Breakthrough DARPA Technologies"  title="10 Breakthrough DARPA Technologies" class="img175" /></a><br /><div class="storyImageTitle">10 Breakthrough DARPA Technologies</div><span class="inlinelargerView">(click image for larger view and for slideshow)</span></div>
<!-- /KINDLE EXCLUDE -->
U.S. intelligence agencies apply advanced analytics to their assessment of terrorist activities, foreign adversaries and other kinds of national security threats. Now they have access to big data on global weather, too.
<p>
In-Q-Tel, the venture capital firm for the CIA and other U.S. intelligence agencies, said it has struck a deal with Weather Analytics, a company that specializes in climate and weather data, to develop new capacities for use in support of intelligence activities.
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/government/information-management/inqtel-invests-in-weather-data-analysi/240154315</link>
            <guid>http://www.informationweek.com/big-data/news/government/information-management/inqtel-invests-in-weather-data-analysi/240154315</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Patience Wait]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[CIA]]></category>
						<category><![CDATA[ In-Q-Tel]]></category>
						<category><![CDATA[ weather]]></category>
						<category><![CDATA[ big data]]></category>
						<category><![CDATA[ analytics]]></category>
						<category><![CDATA[ database]]></category>
						<category><![CDATA[]]></category>
			            <pubDate>Tue, 07 May 2013 09:12 EDT</pubDate>
        </item>
		        <item>
            <title><![CDATA[Cray Builds A Budget-Minded Supercomputer]]></title>
             <blurb><![CDATA[Cray introduces entry-level supercomputer starting at $500,000 for high-end engineering, computational modeling and simulation work.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE -->
<div class="inlineStoryImage inlineStoryImageRight"> <a href="http://www.informationweek.com/hardware/unix-linux/10-cool-products-at-interop/240154110"><img src="http://twimgs.com/informationweek/galleries/automated/988/collage-image_01v2_tn.jpg" alt="Interop 2013 Las Vegas Collage: 10 Cool Products at Interop" title="Interop 2013 Las Vegas Collage: 10 Cool Products at Interop" class="img175" /></a><br /> <div class="storyImageTitle">10 Cool Products at Interop</div> <span class="inlinelargerView">(click image for larger view and for slideshow)</span> </div>
<!-- /KINDLE EXCLUDE -->
Well-known supercomputer vendor Cray introduced what it describes an "aggressively priced" product line on Tuesday aimed at an emerging class of customers delving into high-performance computing (HPC) perhaps for the first time.
<p>
Cray's top-end models used by large corporations, big government research centers and university labs require raised-floor data centers, liquid cooling, optical networking cables and run upwards of $10 million to $20 million for a complete system. The new Cray XC30-AC supercomputer uses many of the same components and software elements as those monsters, but it is air cooled, requires no optical cables and costs from $500,000 to $3 million. The target market is <em>Fortune</em> 100 to <em>Fortune</em> 1000 manufacturers, pharmaceutical companies, and oil and gas firms, and smaller universities, government agencies and research labs that want to exploit supercomputing techniques.
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/software/business-intelligence/cray-builds-a-budgetminded-supercompute/240154311</link>
            <guid>http://www.informationweek.com/big-data/news/software/business-intelligence/cray-builds-a-budgetminded-supercompute/240154311</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Doug Henschen]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[Cray Inc.]]></category>
						<category><![CDATA[ high-performance computing]]></category>
						<category><![CDATA[ HPC]]></category>
						<category><![CDATA[ XC30-AC]]></category>
						<category><![CDATA[ Barry Bolding]]></category>
						<category><![CDATA[ IBM]]></category>
						<category><![CDATA[ Dell]]></category>
						<category><![CDATA[ HP]]></category>
						<category><![CDATA[ SGI]]></category>
						<category><![CDATA[ Earl Joseph]]></category>
			            <pubDate>Tue, 07 May 2013 09:06 EDT</pubDate>
        </item>
		        <item>
            <title><![CDATA[Travel Stress Quantified Using Big Data]]></title>
             <blurb><![CDATA[Travel giant CWT uses big data science to examine the productivity costs of  stressful business travel.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE -->
<div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/slideshows/big-data-analytics/5-big-wishes-for-big-data-deployments/240153214"><img src="http://twimgs.com/informationweek/galleries/automated/981/Big_Hadoop_01_tn.jpg" alt="5 Big Wishes For Big Data Deployments"  title="5 Big Wishes For Big Data Deployments" class="img175" /></a><br /><div class="storyImageTitle">5 Big Wishes For Big Data Deployments</div><span class="inlinelargerView">(click image for larger view and for slideshow)</span></div>
<!-- /KINDLE EXCLUDE -->Millions of workers are on the roads, railways and tarmacs every day. But what's the impact on productivity when those trips go wrong, when business travelers experience stress and suffer indignities large and small?</p>
<p>
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/big-data-analytics/travel-stress-quantified-using-big-data/240154241</link>
            <guid>http://www.informationweek.com/big-data/news/big-data-analytics/travel-stress-quantified-using-big-data/240154241</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Ellis Booker]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[Big data]]></category>
						<category><![CDATA[ travel]]></category>
						<category><![CDATA[ CWT Solutions Group]]></category>
						<category><![CDATA[ CWT Travel Stress Index]]></category>
						<category><![CDATA[ Catalin Ciobanu]]></category>
						<category><![CDATA[ Andreas Weigend]]></category>
						<category><![CDATA[ American Express Travel]]></category>
						<category><![CDATA[ Stanford University]]></category>
			            <pubDate>Mon, 06 May 2013 12:05 EDT</pubDate>
        </item>
		        <item>
            <title><![CDATA[Tivo Research Analytics Mines Big TV Data]]></title>
             <blurb><![CDATA[Tivo unit combines viewership data with product sales information to show advertisers which TV shows reach the right consumers.]]></blurb>
                    
            <description><![CDATA[Twentieth-century department store magnate John Wanamaker famously said, "Half the money I spend on advertising is wasted; the trouble is I don't know which half."
<p>
With big-data analysis, it's now possible to know which half is which. Tivo Research and Analytics (TRA) correlates data on television viewing habits to third-party purchasing data to show advertisers which ads are driving more sales, whether it's consumer packaged goods, automobiles or even prescription drugs. TRA is even exploring correlations among television advertising and online advertising so it can help marketers allocate cross-channel campaign spending.
            ]]></description>
            <link>http://www.informationweek.com/big-data/commentary/software/business-intelligence/tivo-research-analytics-mines-big-tv-dat/240154206</link>
            <guid>http://www.informationweek.com/big-data/commentary/software/business-intelligence/tivo-research-analytics-mines-big-tv-dat/240154206</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Doug Henschen]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[Tivo Research Analytics]]></category>
						<category><![CDATA[ Media TRAnalytics]]></category>
						<category><![CDATA[ The Right Audience]]></category>
						<category><![CDATA[ Kognitio]]></category>
						<category><![CDATA[ Experian]]></category>
						<category><![CDATA[ Dunnhunby]]></category>
						<category><![CDATA[ GFK]]></category>
						<category><![CDATA[ IMS]]></category>
						<category><![CDATA[ Mark Lieberman]]></category>
						<category><![CDATA[ Brian Canning]]></category>
			            <pubDate>Mon, 06 May 2013 11:35 EDT</pubDate>
        </item>
		        <item>
            <title><![CDATA[Data Hoarding: How To Stop]]></title>
             <blurb><![CDATA[Hoarding information, or storing enterprise data in the wrong places, can open your company to legal liability. But culture change won't be easy.]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE -->
<div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/slideshows/big-data-analytics/5-big-wishes-for-big-data-deployments/240153214"><img src="http://twimgs.com/informationweek/galleries/automated/981/Big_Hadoop_01_tn.jpg" alt="5 Big Wishes For Big Data Deployments" title="5 Big Wishes For Big Data Deployments" class="img175" /></a><br /><div class="storyImageTitle">5 Big Wishes For Big Data Deployments</div><span class="inlinelargerView">(click image for larger view and for slideshow)</span></div>
<!-- /KINDLE EXCLUDE -->
<p>Data management is a never-ending struggle for enterprises, particularly when employees store work data in personal accounts on cloud storage services. This so-called <a href="http://www.isaca.org/Knowledge-Center/Research/ResearchDeliverables/Pages/Data-Leak-Prevention.aspx">data leakage</a>, combined with the problem of <a href="http://www.informationweek.com/big-data/news/big-data-analytics/are-you-a-data-hoarder/240149328">data hoarding</a> inside the enterprise firewall, can spell trouble for organizations, especially in legal matters.</p> 
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/software-platforms/data-hoarding-how-to-stop/240154185</link>
            <guid>http://www.informationweek.com/big-data/news/software-platforms/data-hoarding-how-to-stop/240154185</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Jeff Bertolucci]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[big data]]></category>
						<category><![CDATA[ data management]]></category>
						<category><![CDATA[ data hoarding]]></category>
						<category><![CDATA[ legal]]></category>
						<category><![CDATA[ Kevin Cochrane]]></category>
						<category><![CDATA[ OpenText]]></category>
						<category><![CDATA[ storage]]></category>
			            <pubDate>Mon, 06 May 2013 10:36 EDT</pubDate>
        </item>
		        <item>
            <title><![CDATA[How Foreign Names Trip Up Terrorism Databases]]></title>
             <blurb><![CDATA[In last month's Boston Marathon bombing,  the key suspect's name, Tamerlan Tsarnaev, had multiple spellings on U.S. intelligence watch lists. How can we beat this problem?]]></blurb>
                    
            <description><![CDATA[<!-- KINDLE EXCLUDE -->
<div class="inlineStoryImage inlineStoryImageRight"><a href="http://www.informationweek.com/big-data/slideshows/big-data-analytics/5-big-wishes-for-big-data-deployments/240153214"><img src="http://twimgs.com/informationweek/galleries/automated/981/Big_Hadoop_01_tn.jpg" alt="5 Big Wishes For Big Data Deployments" title="5 Big Wishes For Big Data Deployments" class="img175" /></a><br /><div class="storyImageTitle">5 Big Wishes For Big Data Deployments</div><span class="inlinelargerView">(click image for larger view and for slideshow)</span></div>
<!-- /KINDLE EXCLUDE -->
<p>Law enforcement and intelligence agencies have many tools at their disposal to fight terrorism. But the most basic of mistakes, often the result of human error, can have deadly consequences. A suspected terrorist's name, for instance, may be spelled differently on various watch lists, an error that can make it difficult to identify and track a potentially dangerous individual.</P>
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/software-platforms/how-foreign-names-trip-up-terrorism-data/240154159</link>
            <guid>http://www.informationweek.com/big-data/news/software-platforms/how-foreign-names-trip-up-terrorism-data/240154159</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Jeff Bertolucci]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[big data]]></category>
						<category><![CDATA[ counterterrorism]]></category>
						<category><![CDATA[ translations]]></category>
						<category><![CDATA[ Tsarnaev]]></category>
						<category><![CDATA[ databases]]></category>
						<category><![CDATA[ Arabic]]></category>
						<category><![CDATA[ terrorists]]></category>
						<category><![CDATA[ intelligence agencies]]></category>
			            <pubDate>Fri, 03 May 2013 09:56 EDT</pubDate>
        </item>
		        <item>
            <title><![CDATA[MapR Brings Search To Hadoop]]></title>
             <blurb><![CDATA[MapR brings new power to HBase, taps LucidWorks to integrate Apache Lucene/Solr search into M7 Hadoop distribution.]]></blurb>
                    
            <description><![CDATA[Last fall MapR set out to improve on HBase, Hadoop's built-in NoSQL database. On Wednesday it delivered on that promise and it announced a next move: integrating search capabilities with its M7 Hadoop distribution with partner LucidWorks.
<p>
With the latest <a href="http://www.informationweek.com/software/information-management/mapr-promises-a-better-hbase/240009608">MapR M7 release</a>, available immediately, the company says it has delivered higher performance and easier administration for both Hadoop and HBase by forging its own path on certain aspects of Hadoop infrastructure and administration. Specifically, M7 does away with region servers, table splits and merges, and data compaction steps tied to standard Apache software. Instead it implements an architecture exclusive to MapR for snapshotting, high availability and system recovery.  
            ]]></description>
            <link>http://www.informationweek.com/big-data/news/software/information-management/mapr-brings-search-to-hadoop/240153973</link>
            <guid>http://www.informationweek.com/big-data/news/software/information-management/mapr-brings-search-to-hadoop/240153973</guid>
            <category_url>http://www.informationweek.com/big-data/news</category_url>
            <dc:creator><![CDATA[Doug Henschen]]></dc:creator>
						<category><![CDATA[]]></category>
									<category><![CDATA[MapR]]></category>
						<category><![CDATA[ M7]]></category>
						<category><![CDATA[ Hadoop]]></category>
						<category><![CDATA[ HBase]]></category>
						<category><![CDATA[ LudicWorks]]></category>
						<category><![CDATA[ Lucene/Solr]]></category>
						<category><![CDATA[ Jack Norris]]></category>
						<category><![CDATA[ Apache]]></category>
			            <pubDate>Wed, 01 May 2013 14:07 EDT</pubDate>
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