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    <title>(500) https://lnkd.in/e_DCeNMq</title>
    <dc:date>2022-02-21T21:25:16+00:00</dc:date>
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    <dc:creator>sogrady</dc:creator><description><![CDATA[Great post by @JamesBessen and MIT Technology Review on how big technology systems are slowing innovation

 #technology #innovation #bigdata #software #innovation #useradoption #startups #entrepreneurs #regulations #disruption #economics #antitrustlaw ]]></description>
<dc:subject>antitrustlaw bigdata economics entrepreneurs regulations disruption innovation startups technology software useradoption</dc:subject>
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    <title>IBM, Cloudera join RStudio to create R interface to Apache Spark | Computerworld</title>
    <dc:date>2016-09-28T18:30:38+00:00</dc:date>
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    <dc:creator>sogrady</dc:creator><description><![CDATA[IBM, Cloudera join @RStudio to create an R interface to Apache Spark using dplyr  #rstats #ApacheSpark #BigData]]></description>
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    <dc:creator>sogrady</dc:creator><description><![CDATA[Baidu Open-Sources #Python-Driven #MachineLearning Framework:  #BigData #DataScience ]]></description>
<dc:subject>DataScience MachineLearning Python-Driven BigData</dc:subject>
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    <dc:date>2016-09-03T21:10:13+00:00</dc:date>
    <link>https://twitter.com/KirkDBorne/status/772179918214033408/photo/1</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Baidu Open-Sources #Python-Driven #MachineLearning Framework:  #BigData #DataScience ]]></description>
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    <title>“No one at Google uses MapReduce” - The latest in Big Data! 📊</title>
    <dc:date>2016-06-16T13:43:07+00:00</dc:date>
    <link>http://scnem.com/a.php?sid=9fr90.18mr9b3%2Cf%3D4%2Cn%3D9fr90.18mr9b3%2Cp%3D1</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[“No one at Google uses MapReduce” - The latest in #BigData in the #jaxlondon Newsletter! 📊 ]]></description>
<dc:subject>jaxlondon BigData</dc:subject>
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    <title>Twitter</title>
    <dc:date>2016-03-13T18:41:18+00:00</dc:date>
    <link>https://twitter.com/MITSloan/status/709085457578127361</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[.@sinanaral and I are looking for smart students for our Analytics Lab class @MIT in Fall, 2016
#BigData
#analytics ]]></description>
<dc:subject>analytics BigData</dc:subject>
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<item rdf:about="http://redmonk.com/sogrady/2015/06/03/software-paradox">
    <title>The Software Paradox – Available Now – tecosystems</title>
    <dc:date>2015-06-08T19:19:12+00:00</dc:date>
    <link>http://redmonk.com/sogrady/2015/06/03/software-paradox</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[The Software Paradox - Available Now  #bigdata]]></description>
<dc:subject>bigdata</dc:subject>
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<item rdf:about="http://www.wsj.com/articles/in-caesars-fight-data-on-players-is-real-prize-1426800166">
    <title>Real Prize in Caesars Fight: Data on Players - WSJ</title>
    <dc:date>2015-03-20T14:55:12+00:00</dc:date>
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    <dc:creator>sogrady</dc:creator><description><![CDATA[remember how i keep saying the real value is in the data?: ]]></description>
<dc:subject>bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
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    <title>Top Big Data Executives and Experts to Follow on Twitter</title>
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    <link>http://ceoworld.biz/ceo/2014/04/06/top-big-data-executives-and-experts-to-follow-on-twitter-99209833</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Thanks! RT @TheSocialPitt: @revodavid Congrats on making the @CEOWorld list of #BigData Execs to follow! 
]]></description>
<dc:subject>BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
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    <title>metamx/RDruid · GitHub</title>
    <dc:date>2013-04-17T07:36:10+00:00</dc:date>
    <link>https://github.com/metamx/RDruid</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Using Druid and R for mining large datasets.    #rstats #bigdata]]></description>
<dc:subject>rstats bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:eb677e0b2262/</dc:identifier>
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<item rdf:about="http://vimeo.com/63512886">
    <title>Druid + R on Vimeo</title>
    <dc:date>2013-04-17T07:36:10+00:00</dc:date>
    <link>http://vimeo.com/63512886</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Using Druid and R for mining large datasets.    #rstats #bigdata]]></description>
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<item rdf:about="http://bigdata.infochimps.com/high-speed-retail-analytics-with-big-data">
    <title>High-Speed Retail Analytics: Courtesy of a New Approach to Big Data</title>
    <dc:date>2012-11-15T20:20:19+00:00</dc:date>
    <link>http://bigdata.infochimps.com/high-speed-retail-analytics-with-big-data</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[(VIDEO) Make real-time, data driven decisions! High Speed Retail #analytics:Courtesy of a New Approach to #BigData ]]></description>
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    <title>Sustainability, social media and big data - GreenMonk: the blogGreenMonk: the blog</title>
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    <dc:creator>sogrady</dc:creator><description><![CDATA[RT @dberkholz: RT @tomraftery: My latest blog post: #Sustainability, #social media and Big Data   #bigdata --Nice. B ...]]></description>
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	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:social"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.revolutionanalytics.com/2012/10/r-among-techcrunchs-5-trendy-open-source-techs-for-big-data.html">
    <title>R among TechCrunch's 5 Trendy Open-Source Techs for Big Data</title>
    <dc:date>2012-10-30T23:39:57+00:00</dc:date>
    <link>http://blog.revolutionanalytics.com/2012/10/r-among-techcrunchs-5-trendy-open-source-techs-for-big-data.html</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Five Trendy Open Source Technologies for #BigData -  @timgasper's  great overview of R, Dremel, Storm etc.  #rstats]]></description>
<dc:subject>rstats BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:10aec76597a3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:rstats"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blogs.hbr.org/fox/2012/10/why-data-will-never-replace-thinking.html">
    <title>Why Data Will Never Replace Thinking - Justin Fox - Harvard Business Review</title>
    <dc:date>2012-10-18T15:27:55+00:00</dc:date>
    <link>http://blogs.hbr.org/fox/2012/10/why-data-will-never-replace-thinking.html</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Why Data Will Never Replace Thinking  This is a VERY important article: must-read #bigdata $$]]></description>
<dc:subject>bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:5805a982ca37/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://hbr.org/2012/10/big-data-the-management-revolution/ar/1">
    <title>Big Data: The Management Revolution - Harvard Business Review</title>
    <dc:date>2012-09-18T15:10:29+00:00</dc:date>
    <link>http://hbr.org/2012/10/big-data-the-management-revolution/ar/1</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Here's my new Harvard Business Review article with @amcafee "Big Data: The Management Revolution"  @HarvardBiz #bigdata]]></description>
<dc:subject>bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:5919325a711d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.about.com/">
    <title>About.com: Do more.</title>
    <dc:date>2012-08-27T15:02:24+00:00</dc:date>
    <link>http://www.about.com/</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[New York Times sells  for $300 million. #Cloud #BigData]]></description>
<dc:subject>Cloud BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:703ca5ac5aa1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Cloud"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.nytimes.com/glogin?URI=http://www.nytimes.com/2012/08/12/business/how-big-data-became-so-big-unboxed.html&amp;OQ=_rQ3D3Q26smidQ3Dtw-share&amp;OP=6f655955Q2FZbDGZQ23Q3D1pwQ3DQ3DQ5CQ3CZQ3CXQ25Q3CZX,ZQ25Q3CZGQ7EpQ7CuDppZaQ3DbLGQ7CtLQ23UQ5CULGD1UQ24DLpQ3DLGQ7CtLQ7EuGQ3DfDQ23gaQ5CQ24Q3B">
    <title>How Big Data Became So Big - Unboxed - NYTimes.com</title>
    <dc:date>2012-08-12T13:37:43+00:00</dc:date>
    <link>http://www.nytimes.com/glogin?URI=http://www.nytimes.com/2012/08/12/business/how-big-data-became-so-big-unboxed.html&amp;OQ=_rQ3D3Q26smidQ3Dtw-share&amp;OP=6f655955Q2FZbDGZQ23Q3D1pwQ3DQ3DQ5CQ3CZQ3CXQ25Q3CZX,ZQ25Q3CZGQ7EpQ7CuDppZaQ3DbLGQ7CtLQ23UQ5CULGD1UQ24DLpQ3DLGQ7CtLQ7EuGQ3DfDQ23gaQ5CQ24Q3B</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[How Big Data Became So Big  A little history on terminology - and the evolution of an industry $$ #bigdata @iaventures]]></description>
<dc:subject>bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:fe241381841d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.revolutionanalytics.com/2012/08/r-training-visualization-big-data-data-mining-and-marketing-analytics.html">
    <title>Revolutions: R training: Visualization, Big Data, Data Mining, and Marketing Analytics</title>
    <dc:date>2012-08-02T22:45:55+00:00</dc:date>
    <link>http://blog.revolutionanalytics.com/2012/08/r-training-visualization-big-data-data-mining-and-marketing-analytics.html</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Upcoming courses on #DataViz, #BigData analytics, #DataMining, and Marketing Analytics with R:  #rstats]]></description>
<dc:subject>rstats DataMining DataViz BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:89a62b16f408/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:rstats"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:DataMining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:DataViz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.doitwithdata.com.au/?p=19001">
    <title>Should you ditch Hadoop? - Do IT With Data</title>
    <dc:date>2012-07-10T01:40:13+00:00</dc:date>
    <link>http://www.doitwithdata.com.au/?p=19001</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Should you ditch Hadoop?  #bigdata via @doitwithdata]]></description>
<dc:subject>bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:cf84090ea597/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.infochimps.com/_kanzi/assets/whitepapers/why-real-time-analytics.pdf">
    <title>Untitled (http://www.infochimps.com/_kanzi/assets/whitepapers/why-real-time-analytics.pdf)</title>
    <dc:date>2012-05-11T16:35:34+00:00</dc:date>
    <link>http://www.infochimps.com/_kanzi/assets/whitepapers/why-real-time-analytics.pdf</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Great @infochimps white paper explains batch vs streaming #bigdata #analytics with analogy involving tuna sandwiches ]]></description>
<dc:subject>analytics bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:2a389bed06d8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://twitpolls.com/s/UX">
    <title>Untitled (http://twitpolls.com/s/UX)</title>
    <dc:date>2012-05-09T11:07:24+00:00</dc:date>
    <link>http://twitpolls.com/s/UX</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Who is better positioned to capitalize on #bigdata - #IBM or #Oracle reply w/ #IBM #Oracle ]]></description>
<dc:subject>IBM Oracle bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:85bf51afc942/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:IBM"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Oracle"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://metamarkets.com/2012/fast-cheap-and-98-right-cardinality-estimation-for-big-data/">
    <title>Fast, Cheap, and 98% Right:  Cardinality Estimation for Big Data</title>
    <dc:date>2012-05-04T17:41:52+00:00</dc:date>
    <link>http://metamarkets.com/2012/fast-cheap-and-98-right-cardinality-estimation-for-big-data/</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Interesting @metamarkets use of HyperLogLog Algorithm to estimate cardinality in #BigData (analysis in #rstats): ]]></description>
<dc:subject>rstats BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:d2970ef07b17/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:rstats"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://strataconf.com/strataeu">
    <title>Strata Conference - O'Reilly Conferences, October 01 - 02, 2012, London, England</title>
    <dc:date>2012-04-23T16:47:17+00:00</dc:date>
    <link>http://strataconf.com/strataeu</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[#bigdata! RT @strataconf Announcing the first #Strataconf in London, 1-2 Oct 2012! Submit a proposal: ]]></description>
<dc:subject>Strataconf bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:df32662ee4a5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Strataconf"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.nytimes.com/glogin?URI=http://www.nytimes.com/2012/03/25/business/factuals-gil-elbaz-wants-to-gather-the-data-universe.html&amp;OQ=_rQ3D3Q26hp&amp;OP=75b0b787Q2FQ238fQ2BQ23hkzlYkkp_Q23_PQ25_Q23PMQ23_EQ23Q2BolAyfllQ23ZtzpotqlQ270AqQ27fqQ2Bt)Q278typlQ27pkQ270tpwfYQ27pwfQ27htptQ27oyArfYlfawpQ51q">
    <title>Factual’s Gil Elbaz Wants to Gather the Data Universe - NYTimes.com</title>
    <dc:date>2012-03-25T04:46:50+00:00</dc:date>
    <link>http://www.nytimes.com/glogin?URI=http://www.nytimes.com/2012/03/25/business/factuals-gil-elbaz-wants-to-gather-the-data-universe.html&amp;OQ=_rQ3D3Q26hp&amp;OP=75b0b787Q2FQ238fQ2BQ23hkzlYkkp_Q23_PQ25_Q23PMQ23_EQ23Q2BolAyfllQ23ZtzpotqlQ270AqQ27fqQ2Bt)Q278typlQ27pkQ270tpwfYQ27pwfQ27htptQ27oyArfYlfawpQ51q</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[What is all the facts in the world were gathered in one place? Gilad Elbaz is doing that at Factual:  #bigdata]]></description>
<dc:subject>bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:3a4988e57dfb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.zdnet.com/blog/btl/hadoop-named-as-most-popular-big-data-source-of-2011-report/70314?tag=content;selector-blogs">
    <title>Hadoop named as most popular big data source of 2011: report | ZDNet</title>
    <dc:date>2012-02-28T13:17:15+00:00</dc:date>
    <link>http://www.zdnet.com/blog/btl/hadoop-named-as-most-popular-big-data-source-of-2011-report/70314?tag=content;selector-blogs</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[By downloads, Hadoop most popular #NoSQL platform followed by MongoDB according to Jaspersoft survey  #bigdata]]></description>
<dc:subject>NoSQL bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:ca44a4920fc0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:NoSQL"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://nosql.mypopescu.com/post/18431176747/big-data-investment-network-map">
    <title>Big Data Investment Network Map • myNoSQL</title>
    <dc:date>2012-02-28T12:38:08+00:00</dc:date>
    <link>http://nosql.mypopescu.com/post/18431176747/big-data-investment-network-map</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Big Data Investment Network Map  #BigData #Cloudera #Couchbase #Hadapt #Karmasphere #DataSift #JasperSoft #]]></description>
<dc:subject>Hadapt Couchbase JasperSoft DataSift Karmasphere Cloudera BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:053e72c5d718/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Hadapt"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Couchbase"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:JasperSoft"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:DataSift"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Karmasphere"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Cloudera"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://thinking.netezza.com/blog/big-data-analytics-supercharging-enterprise-interest-r">
    <title>Analytics, Big Data &amp; Revolution R | Thinking Inside the Box | IBM Netezza</title>
    <dc:date>2012-02-27T19:43:51+00:00</dc:date>
    <link>http://thinking.netezza.com/blog/big-data-analytics-supercharging-enterprise-interest-r</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[IBM @Netezza's @MCanalytics has some sharp thinking on scaling statistical models in R to #BigData:  #rstats]]></description>
<dc:subject>rstats BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:663d736facb4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:rstats"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.revolutionanalytics.com/2012/02/the-uncanny-valley-of-big-data.html">
    <title>Revolutions: The Uncanny Valley of Big Data</title>
    <dc:date>2012-02-21T20:06:07+00:00</dc:date>
    <link>http://blog.revolutionanalytics.com/2012/02/the-uncanny-valley-of-big-data.html</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Beware the Uncanny Valley of predictive analytics with #BigData ]]></description>
<dc:subject>BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:23161e0e325c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.nytimes.com/glogin?URI=http://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-world.html&amp;OQ=_rQ3D3&amp;OP=3604e42eQ2F3VEs3Q5CH1xqHH,t3tGQ2Bt3Gt3Q2Bt3xkXQ5Crw)qEo_EV3s_F)Q5Cr,rx)_LQ3Cr1,)_X),YE)VHqQ27Q5C7Y,LQ27">
    <title>Log In - The New York Times</title>
    <dc:date>2012-02-12T14:36:26+00:00</dc:date>
    <link>http://www.nytimes.com/glogin?URI=http://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-world.html&amp;OQ=_rQ3D3&amp;OP=3604e42eQ2F3VEs3Q5CH1xqHH,t3tGQ2Bt3Gt3Q2Bt3xkXQ5Crw)qEo_EV3s_F)Q5Cr,rx)_LQ3Cr1,)_X),YE)VHqQ27Q5C7Y,LQ27</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Detailed new article on #BigData by @SteveLohr explains the productivity payoff of the moneyball model ]]></description>
<dc:subject>BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:b8dcd7cd0dad/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.businessagility.com/author.asp?section_id=1511&amp;doc_id=237045">
    <title>Business Agility - Cassimir Medford - Two Big Problems for Big Data</title>
    <dc:date>2011-12-21T20:05:47+00:00</dc:date>
    <link>http://www.businessagility.com/author.asp?section_id=1511&amp;doc_id=237045</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Two big problems for #BigData : ]]></description>
<dc:subject>BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:410e68bc735f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://radar.oreilly.com/2011/12/5-big-data-predictions-2012.html?cmp=ex-conf-st12-twitter-promo">
    <title>Five big data predictions for 2012 - O'Reilly Radar</title>
    <dc:date>2011-12-14T21:49:38+00:00</dc:date>
    <link>http://radar.oreilly.com/2011/12/5-big-data-predictions-2012.html?cmp=ex-conf-st12-twitter-promo</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[RT @strataconf: Five Big Data predictions for 2012  via @radar #bigdata #visualization #hadoop]]></description>
<dc:subject>visualization hadoop bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:782a50cc2fc0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.linux.com/news/featured-blogs/196:zonker/524082:the-10-most-important-open-source-projects-of-2011">
    <title>The 10 Most Important Open Source Projects of 2011 | Linux.com</title>
    <dc:date>2011-12-13T22:50:14+00:00</dc:date>
    <link>https://www.linux.com/news/featured-blogs/196:zonker/524082:the-10-most-important-open-source-projects-of-2011</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[10 Most Important Open Source Projects of 2011:  Comments: ]]></description>
<dc:subject>Cassandra Hadoop bigdata cloud OpenStack Linux</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:048237a5a6d2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Cassandra"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:cloud"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:OpenStack"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Linux"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.digiday.com/stories/coming-to-grips-with-the-big-data-era/?emailsource=data">
    <title>Digiday - Coming to Grips with the Big Data Era</title>
    <dc:date>2011-11-28T13:50:22+00:00</dc:date>
    <link>http://www.digiday.com/stories/coming-to-grips-with-the-big-data-era/?emailsource=data</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Coming to Grips with the Big Data Era  Very insightful post from @davidsoloff of @metamx $$ #bigdata]]></description>
<dc:subject>bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:db0be013f0fa/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.forbes.com/sites/danwoods/2011/10/24/linkedins-daniel-tunkelang-on-what-is-a-data-scientist/2/">
    <title>LinkedIn's Daniel Tunkelang On &quot;What Is a Data Scientist?&quot; - Forbes</title>
    <dc:date>2011-10-25T16:21:16+00:00</dc:date>
    <link>http://www.forbes.com/sites/danwoods/2011/10/24/linkedins-daniel-tunkelang-on-what-is-a-data-scientist/2/</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA["Anyone planning to work with big data ought to learn Hadoop and R"  #rstats #bigdata #datascience]]></description>
<dc:subject>rstats datascience bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:680824bf6720/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:rstats"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:datascience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://edition.cnn.com/2011/10/09/tech/innovation/obama-data-crunching-election/index.html">
    <title>How Obama's data-crunching prowess may get him re-elected - CNN.com</title>
    <dc:date>2011-10-10T18:11:38+00:00</dc:date>
    <link>http://edition.cnn.com/2011/10/09/tech/innovation/obama-data-crunching-election/index.html</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[RT @sinned: Rad. Obama 2012 campaign taking #bigdata seriously. ]]></description>
<dc:subject>bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:c377fca4e0da/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.revolutionanalytics.com/2011/09/how-to-extract-time-series-from-large-timestamped-logs-with-r.html">
    <title>Revolutions: How to extract time series from large timestamped logs with R</title>
    <dc:date>2011-09-16T19:18:32+00:00</dc:date>
    <link>http://blog.revolutionanalytics.com/2011/09/how-to-extract-time-series-from-large-timestamped-logs-with-r.html</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[How to extract time series from very large time-stamped event logs with #rstats:  (by @RevoJoe) #bigdata]]></description>
<dc:subject>rstats bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:d8b0a4e91359/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:rstats"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.revolutionanalytics.com/2011/06/big-data-pca.html">
    <title>Revolutions: Big-Data PCA: 50 years of stock data</title>
    <dc:date>2011-06-17T15:50:36+00:00</dc:date>
    <link>http://blog.revolutionanalytics.com/2011/06/big-data-pca.html</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[How to: Principal components analysis on #BigData with RevoScaleR #rstats package: ]]></description>
<dc:subject>rstats BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:4a0227a3f090/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:rstats"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.revolutionanalytics.com/2011/05/big-data-analysis-in-revolution-r.html">
    <title>Revolutions: A simple Big Data analysis using the RevoScaleR package in Revolution R</title>
    <dc:date>2011-05-24T20:03:00+00:00</dc:date>
    <link>http://blog.revolutionanalytics.com/2011/05/big-data-analysis-in-revolution-r.html</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Revo engineer Steve gives some examples of #BigData #rstats analytics with @RevolutionR: ]]></description>
<dc:subject>rstats BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:bc164eaec5ee/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:rstats"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.linkedin.com/groups/eBay-needs-YOU-3068815.S.51954292?view=&amp;gid=3068815&amp;type=member&amp;item=51954292">
    <title>eBay needs YOU! | LinkedIn</title>
    <dc:date>2011-04-27T16:53:24+00:00</dc:date>
    <link>http://www.linkedin.com/groups/eBay-needs-YOU-3068815.S.51954292?view=&amp;gid=3068815&amp;type=member&amp;item=51954292</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[eBay Analytics platform team is hiring- *20* #BigData jobs, #Hadoop, #Singularity, #MicroStrategy, #Tableau, #R ]]></description>
<dc:subject>Hadoop Singularity Tableau MicroStrategy BigData</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:ffdc1b822dad/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Singularity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Tableau"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:MicroStrategy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://jeffjonas.typepad.com/jeff_jonas/2011/04/data-beats-math.html">
    <title>Jeff Jonas: Data Beats Math</title>
    <dc:date>2011-04-11T16:43:58+00:00</dc:date>
    <link>http://jeffjonas.typepad.com/jeff_jonas/2011/04/data-beats-math.html</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Data Beats Math  “It is a capital mistake to theorize before one has data”~ Sir Arthur Conan Doyle #bigdata]]></description>
<dc:subject>bigdata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:610f8354578c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.sauria.com/blog/2011/02/07/strata-2011/">
    <title>Strata 2011 «  Ted Leung on the Air</title>
    <dc:date>2011-02-08T08:12:08+00:00</dc:date>
    <link>http://www.sauria.com/blog/2011/02/07/strata-2011/</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[RT @twleung: My review / wrap up of Strata 2011:  #strataconf #bigdata]]></description>
<dc:subject>#bigdata #strataconf bigdata strataconf</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:3fb8d11ad182/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:#bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:#strataconf"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:strataconf"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.infochimps.com/2011/02/07/intro-to-wukong-a-ruby-framework-for-hadoop/">
    <title>Intro to Wukong, a Ruby Framework for Hadoop | blog.infochimps.org</title>
    <dc:date>2011-02-07T18:16:16+00:00</dc:date>
    <link>http://blog.infochimps.com/2011/02/07/intro-to-wukong-a-ruby-framework-for-hadoop/</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[leveraging #bigdata has never been easier. here's @mrflip's "Intro to #Wukong" talk from Data Day Austin ]]></description>
<dc:subject>#bigdata #Wukong bigdata Wukong</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:684ea9ee5cbd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:#bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:#Wukong"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:Wukong"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.techmaine.com/civicrm/event/info?reset=1&amp;id=288">
    <title>MaineJUG - Hadoop | TechMaine - The Technology Association of Maine</title>
    <dc:date>2011-02-01T17:07:25+00:00</dc:date>
    <link>http://www.techmaine.com/civicrm/event/info?reset=1&amp;id=288</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[MaineJUG - Hadoop | TechMaine - The Technology Association of Maine  <-- all-star night: @sogrady on #BigData #maine]]></description>
<dc:subject>#BigData #maine BigData maine</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:f6ce8e1306ca/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:#BigData"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:#maine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:BigData"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:maine"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.bigdatacamp.org/siliconvalley/2012-02-27/">
    <title>BigDataCamp</title>
    <dc:date>2011-01-26T06:19:15+00:00</dc:date>
    <link>http://www.bigdatacamp.org/siliconvalley/2012-02-27/</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Wow! 250 registered for BigDataCamp and its filling up fast!  @oreilly #bigdata #strataconf]]></description>
<dc:subject>bigdata strataconf</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:010ed3315a45/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:strataconf"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bigdatacamp-santaclara-2011.eventbrite.com/sv">
    <title>BigDataCamp @Strata - Jan 31, 2011 - Hadoop- Eventbrite</title>
    <dc:date>2011-01-26T06:19:15+00:00</dc:date>
    <link>http://bigdatacamp-santaclara-2011.eventbrite.com/sv</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Wow! 250 registered for BigDataCamp and its filling up fast!  @oreilly #bigdata #strataconf]]></description>
<dc:subject>#bigdata #strataconf bigdata strataconf</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:0733e155c646/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:#bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:#strataconf"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:strataconf"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.sdtimes.com/link/34792">
    <title>RHIPE combines Hadoop and the R analytics language - SD Times: Software Development News</title>
    <dc:date>2010-10-13T01:32:04+00:00</dc:date>
    <link>http://www.sdtimes.com/link/34792</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[SD Times: Big Data Hadoop meets advanced statistics with R  #rstats #bigdata]]></description>
<dc:subject>#bigdata #rstats bigdata rstats</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:c19181142202/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:#bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:#rstats"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:rstats"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://strataconf.com/strata2011/public/content/about#committee">
    <title>About: Strata 2011 - O'Reilly Conferences, February 01 - 03, 2011, Santa Clara, CA</title>
    <dc:date>2010-08-25T20:31:27+00:00</dc:date>
    <link>http://strataconf.com/strata2011/public/content/about#committee</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Thrilled to be on the Program Committee for #strataconf, brilliant folks:  Submit CFPs on #bigdata, or data in gen.]]></description>
<dc:subject>#bigdata #strataconf bigdata strataconf</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:0b6d757ae4b8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:#bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:#strataconf"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:strataconf"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://googlecode.blogspot.com/2010/05/bigquery-and-prediction-api-get-more.html">
    <title>Google Code Blog: BigQuery and Prediction API: Get more from your data with Google</title>
    <dc:date>2010-07-16T03:26:44+00:00</dc:date>
    <link>http://googlecode.blogspot.com/2010/05/bigquery-and-prediction-api-get-more.html</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[this is a much bigger deal than people realize]]></description>
<dc:subject>google api prediction datamining data bigdata</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:9fde549e7d23/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:api"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:prediction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://news.cnet.com/8301-13846_3-20006661-62.html">
    <title>'R' language bringing statistical analytics to the masses (Q&amp;A) | Software, Interrupted - CNET News</title>
    <dc:date>2010-07-16T03:21:21+00:00</dc:date>
    <link>http://news.cnet.com/8301-13846_3-20006661-62.html</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[like i said, more on R]]></description>
<dc:subject>daverosenberg r revolutionanalytics bigdata statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:f177e86279be/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:daverosenberg"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:r"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:revolutionanalytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://flowingdata.com/2010/06/04/r-for-enterprise/">
    <title>R for enterprise?</title>
    <dc:date>2010-07-16T03:20:43+00:00</dc:date>
    <link>http://flowingdata.com/2010/06/04/r-for-enterprise/</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[lots of R-related chatter recently]]></description>
<dc:subject>r revolutionanalytics statistics bigdata</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:d505c50f65c5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:r"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:revolutionanalytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.hypertable.com/?p=14">
    <title>Hypertable vs. HBase Performance Evaluation « The Hypertable Blog</title>
    <dc:date>2010-07-16T02:54:28+00:00</dc:date>
    <link>http://blog.hypertable.com/?p=14</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[just what it says]]></description>
<dc:subject>hypertable hbase bigdata benchmarking</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:5822f7abecf9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:hypertable"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:hbase"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:benchmarking"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.royans.net/arch/pregel-googles-other-data-processing-infrastructure/">
    <title>google's other data processing approach</title>
    <dc:date>2010-03-20T10:59:44+00:00</dc:date>
    <link>http://www.royans.net/arch/pregel-googles-other-data-processing-infrastructure/</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[how long before we see a Hadoop for Pregel?]]></description>
<dc:subject>hadoop pregel bigdata google graph database</dc:subject>
<dc:source>https://apple.com/iphone/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:dc6470149917/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:pregel"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:graph"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:database"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://techcrunch.com/2010/03/16/big-data-freedom/">
    <title>Big Data Is Less About Size, And More About Freedom</title>
    <dc:date>2010-03-17T02:07:52+00:00</dc:date>
    <link>http://techcrunch.com/2010/03/16/big-data-freedom/</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[great, great piece]]></description>
<dc:subject>bigdata bradfordcross</dc:subject>
<dc:source>https://apple.com/iphone/</dc:source>
<dc:identifier>https://pinboard.in/u:sogrady/b:e7cae69d55ce/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bradfordcross"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.infinidb.org/resources/tech-articles/69-introducing-infinidb-from-calpont">
    <title>Introducing InfiniDB from Calpont | infinidb.org</title>
    <dc:date>2009-11-11T17:35:07+00:00</dc:date>
    <link>http://www.infinidb.org/resources/tech-articles/69-introducing-infinidb-from-calpont</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA["What happens when you marry a column-oriented database that’s modular in design, can scale both up and out, with open source? You get Calpont’s InfiniDB."
]]></description>
<dc:subject>opensource mysql bigdata columnstore column infinidb calpont persistence database nosql</dc:subject>
<dc:identifier>https://pinboard.in/u:sogrady/b:afe9743bd853/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:mysql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:columnstore"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:column"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:infinidb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:calpont"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:persistence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:nosql"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cs.waikato.ac.nz/~abifet/MOA/">
    <title>MOA - Massive Online Analysis</title>
    <dc:date>2009-11-11T17:33:12+00:00</dc:date>
    <link>http://www.cs.waikato.ac.nz/~abifet/MOA/</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[interesting big data related project
]]></description>
<dc:subject>java programming bigdata datamining streaming analytics distributed framework moa weka via:josh</dc:subject>
<dc:identifier>https://pinboard.in/u:sogrady/b:6c724dbcbdda/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:streaming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:framework"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:moa"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:weka"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:via:josh"/>
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</item>
<item rdf:about="http://news.cnet.com/8301-13846_3-10393259-62.html?part=rss&amp;tag=feed&amp;subj=Software,Interrupted">
    <title>Open-source Hadoop powers Tennessee smart grid | Software, Interrupted - CNET News</title>
    <dc:date>2009-11-10T22:26:21+00:00</dc:date>
    <link>http://news.cnet.com/8301-13846_3-10393259-62.html?part=rss&amp;tag=feed&amp;subj=Software,Interrupted</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Hadoop in the real world. good piece by Dave.
]]></description>
<dc:subject>daverosenberg hadoop tva bigdata smartgrid</dc:subject>
<dc:identifier>https://pinboard.in/u:sogrady/b:315d68b01276/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:tva"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:smartgrid"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.slideshare.net/kevinweil/hadoop-pig-and-twitter-nosql-east-2009">
    <title>Hadoop, Pig, and Twitter (NoSQL East 2009)</title>
    <dc:date>2009-11-05T22:54:05+00:00</dc:date>
    <link>http://www.slideshare.net/kevinweil/hadoop-pig-and-twitter-nosql-east-2009</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[from a Twitter employee, no less.
]]></description>
<dc:subject>hadoop pig twitter nosql mapreduce bigdata statistics analytics</dc:subject>
<dc:identifier>https://pinboard.in/u:sogrady/b:2a968a14064c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:pig"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:twitter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:analytics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cloudera.com/blog/2009/11/02/avro-a-format-for-big-data/">
    <title>Avro: a Format for Big Data » Cloudera Hadoop &amp; Big Data Blog</title>
    <dc:date>2009-11-05T21:47:39+00:00</dc:date>
    <link>http://www.cloudera.com/blog/2009/11/02/avro-a-format-for-big-data/</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[Doug Cutting on a format for tackling big data
]]></description>
<dc:subject>cloudera dougcutting avro bigdata megadata hadoop</dc:subject>
<dc:identifier>https://pinboard.in/u:sogrady/b:dcbe673c0ff7/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:dougcutting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:avro"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:megadata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:hadoop"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bitworking.org/news/158/ETech-07-Summary-Part-2-MegaData">
    <title>Joe Gregorio | BitWorking | ETech '07 Summary - Part 2 - MegaData</title>
    <dc:date>2007-04-09T23:09:09+00:00</dc:date>
    <link>http://bitworking.org/news/158/ETech-07-Summary-Part-2-MegaData</link>
    <dc:creator>sogrady</dc:creator><description><![CDATA[if you liked Adam Bosworth's "Where Have All the Good Databases Gone", this is important, just trust me (see also Bill's comments); on a completely unrelated note, great to meet Joe in person - albeit briefly - last week
]]></description>
<dc:subject>joegregorio databases storage scalability joinless distributed bigdata</dc:subject>
<dc:identifier>https://pinboard.in/u:sogrady/b:dfd2e3011a17/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:databases"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:storage"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:joinless"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:sogrady/t:bigdata"/>
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</item>
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