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	<title>Gigaom Search &#187; Spark</title>
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	<description>Search and browse the archives</description>
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		<title>Cloudera CEO declares victory over big data competition</title>
		<link>http://gigaom.com/2015/03/03/cloudera-ceo-declares-victory-over-big-data-competition/</link>
		<comments>http://gigaom.com/2015/03/03/cloudera-ceo-declares-victory-over-big-data-competition/#comments</comments>
		<pubDate>Tue, 03 Mar 2015 20:51:18 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[Structure Data 2015]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:INTC]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=918411</guid>
		<description><![CDATA[Cloudera CEO Tom Reilly doesn't often mince words when it comes to describing his competition in the Hadoop space, or Cloudera's position among those other companies. In October 2013, Reilly told me&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/03/03/cloudera-ceo-declares-victory-over-big-data-competition/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
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		<title>For now, Spark looks like the future of big data</title>
		<link>http://gigaom.com/2015/02/20/for-now-spark-looks-like-the-future-of-big-data/</link>
		<comments>http://gigaom.com/2015/02/20/for-now-spark-looks-like-the-future-of-big-data/#comments</comments>
		<pubDate>Fri, 20 Feb 2015 21:05:38 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Spark]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[Databricks]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[Structure Data 2015]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=916170</guid>
		<description><![CDATA[Titles can be misleading. For example, the O'Reilly Strata + Hadoop World conference took place in San Jose, California, this week but Hadoop wasn't the star of the show. Based on&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/02/20/for-now-spark-looks-like-the-future-of-big-data/feed/</wfw:commentRss>
		<slash:comments>5</slash:comments>
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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>
		</item>
		<item>
		<title>WunderBar sensor kit gets notifications app for broader appeal</title>
		<link>https://gigaom.com/2014/12/18/wunderbar-sensor-kit-gets-notifications-app-for-broader-appeal/</link>
		<comments>https://gigaom.com/2014/12/18/wunderbar-sensor-kit-gets-notifications-app-for-broader-appeal/#comments</comments>
		<pubDate>Thu, 18 Dec 2014 13:08:09 +0000</pubDate>
		<dc:creator><![CDATA[David Meyer]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Berlin]]></category>
		<category><![CDATA[Grove]]></category>
		<category><![CDATA[LittleBits]]></category>
		<category><![CDATA[Maker]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[WunderBar]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=901348</guid>
		<description><![CDATA[The open-source WunderBar kit is a distinctive attempt to get app developers to shift their attention to the internet of things. It takes the form of a chocolate bar, the individual&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/18/wunderbar-sensor-kit-gets-notifications-app-for-broader-appeal/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Want to make data scientist money? Learn data science tools</title>
		<link>https://gigaom.com/2014/12/04/want-to-make-data-scientist-money-learn-data-science-tools/</link>
		<comments>https://gigaom.com/2014/12/04/want-to-make-data-scientist-money-learn-data-science-tools/#comments</comments>
		<pubDate>Thu, 04 Dec 2014 22:22:13 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[Spark]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=898174</guid>
		<description><![CDATA[O'Reilly Media released the results of its second-annual data science salary survey on Thursday (available for free download here), and the results were not too surprising. Essentially, it shows that people&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/04/want-to-make-data-scientist-money-learn-data-science-tools/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Why eHarmony is rebuilding itself atop Hadoop and (probably) OpenStack</title>
		<link>https://gigaom.com/2014/11/19/why-eharmony-is-rebuilding-itself-atop-openstack-and-hadoop/</link>
		<comments>https://gigaom.com/2014/11/19/why-eharmony-is-rebuilding-itself-atop-openstack-and-hadoop/#comments</comments>
		<pubDate>Wed, 19 Nov 2014 17:46:01 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[eharmony]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[OpenStack]]></category>
		<category><![CDATA[Spark]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:CSCO]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=890010</guid>
		<description><![CDATA[Dating site eHarmony is overhauling its IT infrastructure with a lot of open source technology. CTO Thod Nguyen explains what the company is looking to use and why it made those&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/19/why-eharmony-is-rebuilding-itself-atop-openstack-and-hadoop/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Pivotal and EMC are betting on Spark cousin Tachyon as in-memory file system</title>
		<link>https://gigaom.com/2014/10/14/pivotal-and-emc-are-betting-on-spark-cousin-tachyon-as-in-memory-file-system/</link>
		<comments>https://gigaom.com/2014/10/14/pivotal-and-emc-are-betting-on-spark-cousin-tachyon-as-in-memory-file-system/#comments</comments>
		<pubDate>Tue, 14 Oct 2014 18:47:15 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AMPLab]]></category>
		<category><![CDATA[Apache Spark]]></category>
		<category><![CDATA[data lake]]></category>
		<category><![CDATA[in memory processing]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[Tachyon]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:EMC]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=880773</guid>
		<description><![CDATA[EMC-VMware spinoff Pivotal is putting its money behind Tachyon, an in-memory distributed file system developed by the same research lab that created Apache Spark. The goal is to improve the company's&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/10/14/pivotal-and-emc-are-betting-on-spark-cousin-tachyon-as-in-memory-file-system/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Databricks demolishes big data benchmark to prove Spark is fast on disk, too</title>
		<link>https://gigaom.com/2014/10/10/databricks-demolishes-big-data-benchmark-to-prove-spark-is-fast-on-disk-too/</link>
		<comments>https://gigaom.com/2014/10/10/databricks-demolishes-big-data-benchmark-to-prove-spark-is-fast-on-disk-too/#comments</comments>
		<pubDate>Fri, 10 Oct 2014 20:49:26 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Spark]]></category>
		<category><![CDATA[Databricks]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Spark]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=880151</guid>
		<description><![CDATA[Apache Spark is taking the big data world by storm, but the folks at Databricks wanted to disprove a misconception that its only performance advantages over Hadoop MapReduce come in-memory.]]></description>
		<wfw:commentRss>https://gigaom.com/2014/10/10/databricks-demolishes-big-data-benchmark-to-prove-spark-is-fast-on-disk-too/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>The lab that created Spark wants to speed up everything, including cures for cancer</title>
		<link>https://gigaom.com/2014/08/02/the-lab-that-created-spark-wants-to-speed-up-everything-including-cures-for-cancer/</link>
		<comments>https://gigaom.com/2014/08/02/the-lab-that-created-spark-wants-to-speed-up-everything-including-cures-for-cancer/#comments</comments>
		<pubDate>Sat, 02 Aug 2014 16:30:39 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AMPLab]]></category>
		<category><![CDATA[genetic research]]></category>
		<category><![CDATA[Mesos]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[SQL on Hadoop]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=861725</guid>
		<description><![CDATA[AMPLab, the University of California, Berkeley, research group responsible for making Spark a household name in big data, has a lot more tricks up its sleeve. They range from databases to&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/08/02/the-lab-that-created-spark-wants-to-speed-up-everything-including-cures-for-cancer/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>Big data and analytics second-quarter 2014: analysis and outlook</title>
		<link>http://research.gigaom.com/report/big-data-and-analytics-second-quarter-2014-analysis-and-outlook/</link>
		<comments>http://research.gigaom.com/report/big-data-and-analytics-second-quarter-2014-analysis-and-outlook/#comments</comments>
		<pubDate>Wed, 16 Jul 2014 12:00:16 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Google Dataflow]]></category>
		<category><![CDATA[MonetDB]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[Spotfire]]></category>
		<category><![CDATA[YARN]]></category>
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		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=233035/</guid>
		<description><![CDATA[In the second quarter of 2014, new de facto standards emerged and galvanized, major cloud providers launched new analytics offerings, and mainstream databases began to take on attributes and capabilities of&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/big-data-and-analytics-second-quarter-2014-analysis-and-outlook/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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