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	<title>Gigaom Search &#187; Storm</title>
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		<title>Pinterest is experimenting with MemSQL for real-time data analytics</title>
		<link>http://gigaom.com/2015/02/18/pinterest-is-experimenting-with-memsql-for-real-time-data-analytics/</link>
		<comments>http://gigaom.com/2015/02/18/pinterest-is-experimenting-with-memsql-for-real-time-data-analytics/#comments</comments>
		<pubDate>Wed, 18 Feb 2015 19:00:27 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Hadoop]]></category>
		<category><![CDATA[batch-processing]]></category>
		<category><![CDATA[data analysis]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[Storm]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915570</guid>
		<description><![CDATA[Pinterest shed more light on how the social scrapbook and visual discovery service analyzes data in real time, it said in a blog post on Wednesday, also revealing details about how&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/02/18/pinterest-is-experimenting-with-memsql-for-real-time-data-analytics/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Hitachi Data Systems to buy Pentaho for $500-$600M</title>
		<link>https://gigaom.com/2015/02/10/hitachi-data-systems-to-buy-pentaho-for-500-600m/</link>
		<comments>https://gigaom.com/2015/02/10/hitachi-data-systems-to-buy-pentaho-for-500-600m/#comments</comments>
		<pubDate>Tue, 10 Feb 2015 22:41:24 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Hitachi Data Systems]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Storm]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=914016</guid>
		<description><![CDATA[Storage vendor Hitachi Data Systems is set to buy analytics company Pentaho at a price rumored to be between $500 million and $600 million (closer to $500 million, from what I've heard). It's&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/10/hitachi-data-systems-to-buy-pentaho-for-500-600m/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Uber&#8217;s first test of crisis surge cap went unnoticed in October</title>
		<link>https://gigaom.com/2015/01/26/ubers-first-test-of-crisis-surge-cap-went-unnoticed-in-october/</link>
		<comments>https://gigaom.com/2015/01/26/ubers-first-test-of-crisis-surge-cap-went-unnoticed-in-october/#comments</comments>
		<pubDate>Mon, 26 Jan 2015 20:52:17 +0000</pubDate>
		<dc:creator><![CDATA[Carmel DeAmicis]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Attorney General]]></category>
		<category><![CDATA[Blizzard]]></category>
		<category><![CDATA[cost]]></category>
		<category><![CDATA[crisis]]></category>
		<category><![CDATA[disaster]]></category>
		<category><![CDATA[disasters]]></category>
		<category><![CDATA[emergency]]></category>
		<category><![CDATA[Fee]]></category>
		<category><![CDATA[gouging]]></category>
		<category><![CDATA[Hawaii]]></category>
		<category><![CDATA[hostage]]></category>
		<category><![CDATA[hurricane]]></category>
		<category><![CDATA[hurricane ana]]></category>
		<category><![CDATA[hurricane Sandy]]></category>
		<category><![CDATA[increases]]></category>
		<category><![CDATA[juno]]></category>
		<category><![CDATA[New York]]></category>
		<category><![CDATA[New York City]]></category>
		<category><![CDATA[price gouge]]></category>
		<category><![CDATA[pricing]]></category>
		<category><![CDATA[situation]]></category>
		<category><![CDATA[Storm]]></category>
		<category><![CDATA[Surge]]></category>
		<category><![CDATA[Surge pricing]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=909759</guid>
		<description><![CDATA[All eyes are on New York, where along with a massive incoming storm, Uber is rolling out its emergency surge pricing cap. On Monday, there was a flurry of coverage by media outlets from Bloomberg&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/26/ubers-first-test-of-crisis-surge-cap-went-unnoticed-in-october/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Twitter details how new home-grown system coordinates data analytics</title>
		<link>https://gigaom.com/2014/06/27/twitter-details-how-new-home-grown-system-coordinates-data-analytics/</link>
		<comments>https://gigaom.com/2014/06/27/twitter-details-how-new-home-grown-system-coordinates-data-analytics/#comments</comments>
		<pubDate>Fri, 27 Jun 2014 16:45:11 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[batch-processing]]></category>
		<category><![CDATA[Storm]]></category>
		<category><![CDATA[TSAR]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=853787</guid>
		<description><![CDATA[The new system, called TSAR, acts as a real-time data orchestrator and makes it easier for product teams to receive insights into Twitter's data much faster than before.]]></description>
		<wfw:commentRss>https://gigaom.com/2014/06/27/twitter-details-how-new-home-grown-system-coordinates-data-analytics/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Bringing Hadoop to the mainframe</title>
		<link>http://research.gigaom.com/report/bringing-hadoop-to-the-mainframe/</link>
		<comments>http://research.gigaom.com/report/bringing-hadoop-to-the-mainframe/#comments</comments>
		<pubDate>Tue, 17 Jun 2014 21:46:17 +0000</pubDate>
		<dc:creator><![CDATA[Paul Miller]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data scientists]]></category>
		<category><![CDATA[devops]]></category>
		<category><![CDATA[ELT]]></category>
		<category><![CDATA[ETL]]></category>
		<category><![CDATA[Lotus Notes]]></category>
		<category><![CDATA[Raspberry Pi]]></category>
		<category><![CDATA[Storm]]></category>
		<category><![CDATA[System/360]]></category>
		<category><![CDATA[vStorm Enterprise]]></category>
		<category><![CDATA[YARN]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:ORCL]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSYE:SAP]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=231448/</guid>
		<description><![CDATA[Mainframes still account for 60 percent or more of global enterprise transactions.]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/bringing-hadoop-to-the-mainframe/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>This week in big data: Clouds, collaboration and Cassandra</title>
		<link>https://gigaom.com/2014/02/12/this-week-in-big-data-clouds-collaboration-and-cassandra/</link>
		<comments>https://gigaom.com/2014/02/12/this-week-in-big-data-clouds-collaboration-and-cassandra/#comments</comments>
		<pubDate>Wed, 12 Feb 2014 21:11:54 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[security]]></category>
		<category><![CDATA[Storm]]></category>
		<category><![CDATA[stream processing]]></category>
		<category><![CDATA[Structure Data]]></category>
		<category><![CDATA[Structure:Data]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=815996</guid>
		<description><![CDATA[There has been a lot of data industry news this week coming out of the Strata conference, and elsewhere. Here are some of the highlights.]]></description>
		<wfw:commentRss>https://gigaom.com/2014/02/12/this-week-in-big-data-clouds-collaboration-and-cassandra/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Amazon&#8217;s streaming data service, Kinesis, is now available</title>
		<link>https://gigaom.com/2013/12/17/amazons-streaming-data-service-kinesis-is-now-available/</link>
		<comments>https://gigaom.com/2013/12/17/amazons-streaming-data-service-kinesis-is-now-available/#comments</comments>
		<pubDate>Tue, 17 Dec 2013 08:15:11 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Storm]]></category>
		<category><![CDATA[stream processing]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=775906</guid>
		<description><![CDATA[The service, announced in November as a tool for customers who want to process data in a timely fashion, gives Amazon a rival to Apache Storm.]]></description>
		<wfw:commentRss>https://gigaom.com/2013/12/17/amazons-streaming-data-service-kinesis-is-now-available/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>Hortonworks has big plans to make Storm work for the enterprise</title>
		<link>https://gigaom.com/2013/10/15/hortonworks-has-big-plans-to-make-storm-work-for-the-enterprise/</link>
		<comments>https://gigaom.com/2013/10/15/hortonworks-has-big-plans-to-make-storm-work-for-the-enterprise/#comments</comments>
		<pubDate>Tue, 15 Oct 2013 15:31:34 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Storm]]></category>
		<category><![CDATA[stream processing]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=704744</guid>
		<description><![CDATA[Hortonworks is working to integrate the Storm stream-processing engine with its Hadoop distro, and hopes to have it ready for enterprise apps within a year's time. It's the latest non-batch functionality&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/10/15/hortonworks-has-big-plans-to-make-storm-work-for-the-enterprise/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>LinkedIn open sources stream-processing engine Samza, its take on Storm</title>
		<link>https://gigaom.com/2013/09/17/linkedin-open-sources-stream-processing-engine-samza-its-take-on-storm/</link>
		<comments>https://gigaom.com/2013/09/17/linkedin-open-sources-stream-processing-engine-samza-its-take-on-storm/#comments</comments>
		<pubDate>Tue, 17 Sep 2013 12:06:16 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[real-time processing]]></category>
		<category><![CDATA[Storm]]></category>
		<category><![CDATA[stream processing]]></category>
		<category><![CDATA[Structure:Europe]]></category>
		<category><![CDATA[YARN]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:LNKD]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=690667</guid>
		<description><![CDATA[Samza is LinkedIn's take on Twitter's Storm engine for stream processing, only built on top of LinkedIn's own Kafka messaging system. It's the latest in a growing line of open source&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/09/17/linkedin-open-sources-stream-processing-engine-samza-its-take-on-storm/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Twitter open sources Storm-Hadoop hybrid called Summingbird</title>
		<link>https://gigaom.com/2013/09/03/twitter-open-sources-storm-hadoop-hybrid-called-summingbird/</link>
		<comments>https://gigaom.com/2013/09/03/twitter-open-sources-storm-hadoop-hybrid-called-summingbird/#comments</comments>
		<pubDate>Tue, 03 Sep 2013 19:19:45 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Storm]]></category>
		<category><![CDATA[stream processing]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=686260</guid>
		<description><![CDATA[Twitter has open sourced a "streaming MapReduce" system called Summingbird that makes Hadoop and Storm play nicer together so applications that require both batch and stream processing can do their jobs&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/09/03/twitter-open-sources-storm-hadoop-hybrid-called-summingbird/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
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