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> <channel><title>IPHere &#187; Hadoop</title> <atom:link href="https://www.iphere.com/tag/hadoop/feed" rel="self" type="application/rss+xml" /><link>https://www.iphere.com</link> <description>We show your current IP</description> <lastBuildDate>Wed, 03 Aug 2022 14:13:56 +0000</lastBuildDate> <language>en-US</language> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <generator>http://wordpress.org/?v=3.6.1</generator> <item><title>HP, Cloudera Extend Hadoop Ties, Plan Appliance</title><link>https://www.iphere.com/hp-cloudera-extend-hadoop-ties-plan-appliance-2</link> <comments>https://www.iphere.com/hp-cloudera-extend-hadoop-ties-plan-appliance-2#comments</comments> <pubDate>Mon, 06 Aug 2012 14:23:24 +0000</pubDate> <dc:creator>IPHere</dc:creator> <category><![CDATA[General]]></category> <category><![CDATA[Appliance]]></category> <category><![CDATA[Cloudera]]></category> <category><![CDATA[Extend]]></category> <category><![CDATA[Hadoop]]></category> <category><![CDATA[Plan]]></category> <category><![CDATA[Ties]]></category> <guid
isPermaLink="false">http://www.iphere.com/hp-cloudera-extend-hadoop-ties-plan-appliance-2</guid> <description><![CDATA[Notch yet another partnership for Hadoop software and services provider Cloudera, as it announced Thursday a deal through which HP will resell the Cloudera Enterprise platform along with its hardware and an HP Hadoop appliance set for release in the fourth quarter. Cloudera and HP were already partnered, but the agreement and coming appliance will [&#8230;]]]></description> <wfw:commentRss>https://www.iphere.com/hp-cloudera-extend-hadoop-ties-plan-appliance-2/feed</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>HP, Cloudera Extend Hadoop Ties, Plan Appliance</title><link>https://www.iphere.com/hp-cloudera-extend-hadoop-ties-plan-appliance</link> <comments>https://www.iphere.com/hp-cloudera-extend-hadoop-ties-plan-appliance#comments</comments> <pubDate>Sat, 28 Jul 2012 02:13:45 +0000</pubDate> <dc:creator>IPHere</dc:creator> <category><![CDATA[General]]></category> <category><![CDATA[Appliance]]></category> <category><![CDATA[Cloudera]]></category> <category><![CDATA[Extend]]></category> <category><![CDATA[Hadoop]]></category> <category><![CDATA[Plan]]></category> <category><![CDATA[Ties]]></category> <guid
isPermaLink="false">http://www.iphere.com/hp-cloudera-extend-hadoop-ties-plan-appliance</guid> <description><![CDATA[Notch yet another partnership for Hadoop software and services provider Cloudera, as it announced Thursday a deal through which HP will resell the Cloudera Enterprise platform along with its hardware and an HP Hadoop appliance set for release in the fourth quarter. Cloudera and HP were already partnered, but the agreement and coming appliance will [&#8230;]]]></description> <wfw:commentRss>https://www.iphere.com/hp-cloudera-extend-hadoop-ties-plan-appliance/feed</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Hadoop Tames Big Data for the Enterprise</title><link>https://www.iphere.com/hadoop-tames-big-data-for-the-enterprise</link> <comments>https://www.iphere.com/hadoop-tames-big-data-for-the-enterprise#comments</comments> <pubDate>Sat, 24 Mar 2012 14:13:50 +0000</pubDate> <dc:creator>IPHere</dc:creator> <category><![CDATA[General]]></category> <category><![CDATA[data]]></category> <category><![CDATA[Enterprise]]></category> <category><![CDATA[Hadoop]]></category> <category><![CDATA[Tames]]></category> <guid
isPermaLink="false">http://www.iphere.com/hadoop-tames-big-data-for-the-enterprise</guid> <description><![CDATA[Big Data can mean big opportunities for the majority of organizations, but only if they can make sense of the data in a reasonable amount of time. Network Computing]]></description> <wfw:commentRss>https://www.iphere.com/hadoop-tames-big-data-for-the-enterprise/feed</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Yahoo Spins Out Hadoop Startup</title><link>https://www.iphere.com/yahoo-spins-out-hadoop-startup</link> <comments>https://www.iphere.com/yahoo-spins-out-hadoop-startup#comments</comments> <pubDate>Wed, 29 Jun 2011 20:13:09 +0000</pubDate> <dc:creator>IPHere</dc:creator> <category><![CDATA[General]]></category> <category><![CDATA[Hadoop]]></category> <category><![CDATA[Spins]]></category> <category><![CDATA[Startup]]></category> <category><![CDATA[Yahoo]]></category> <guid
isPermaLink="false">http://www.iphere.com/yahoo-spins-out-hadoop-startup</guid> <description><![CDATA[A core development group at Yahoo is being given venture capital backing and will be spun off to further the rapid enterprise-style development of Hadoop. Within a few days, &#8220;something over 20&#8243; core committers and architects of Hadoop code will move off the Yahoo campus in Sunnyvale, Calif., into offices nearby to form Hortonworks, an [&#8230;]]]></description> <wfw:commentRss>https://www.iphere.com/yahoo-spins-out-hadoop-startup/feed</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Hadoop And Enterprise Storage?</title><link>https://www.iphere.com/hadoop-and-enterprise-storage</link> <comments>https://www.iphere.com/hadoop-and-enterprise-storage#comments</comments> <pubDate>Thu, 12 May 2011 08:14:09 +0000</pubDate> <dc:creator>IPHere</dc:creator> <category><![CDATA[General]]></category> <category><![CDATA[Enterprise]]></category> <category><![CDATA[Hadoop]]></category> <category><![CDATA[Storage]]></category> <guid
isPermaLink="false">http://www.iphere.com/hadoop-and-enterprise-storage</guid> <description><![CDATA[Both NetApp and EMC have announced that they&#8217;re turning the turrets of their marketing battleships toward the Apache Hadoop marketplace that provides the back end to many Web 2.0 implementations. While I understand how Hadoop is attractive to these storage vendors&#8211;after all, a typical Hadoop cluster will have hundreds of gigabytes of data&#8211;I&#8217;m not sure [&#8230;]]]></description> <wfw:commentRss>https://www.iphere.com/hadoop-and-enterprise-storage/feed</wfw:commentRss> <slash:comments>0</slash:comments> </item> </channel> </rss>