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	<title>Gigaom Search &#187; People &#187; Ion Stoica</title>
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		<title>Apache Big Data releases continue unabated</title>
		<link>http://research.gigaom.com/2015/03/apache-big-data-releases-continue-unabated/</link>
		<comments>http://research.gigaom.com/2015/03/apache-big-data-releases-continue-unabated/#comments</comments>
		<pubDate>Wed, 04 Mar 2015 14:00:10 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[new releases]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?p=246381</guid>
		<description><![CDATA[Last week, I wrote briefly about Apache HBase pushing out its 1.0 release. Subsequently, news of several more new releases of Big Data-related projects rolled out of the Apache Software Foundation. I&#8230;]]></description>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Why Apache Spark is the fast, easy future of big data</title>
		<link>http://events.gigaom.com/structuredata-2015/session/why-apache-spark-is-the-fast-easy-future-of-big-data/</link>
		<comments>http://events.gigaom.com/structuredata-2015/session/why-apache-spark-is-the-fast-easy-future-of-big-data/#comments</comments>
		<pubDate>Mon, 02 Feb 2015 13:36:26 +0000</pubDate>
		<dc:creator><![CDATA[monicabadgley]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Structure Data]]></category>
		<category><![CDATA[Structure Data 2015]]></category>
		<category><![CDATA[Structure:Data]]></category>

		<guid isPermaLink="false">http://events.gigaom.com/structuredata-2015/session/why-apache-spark-is-the-fast-easy-future-of-big-data/</guid>
		<description><![CDATA[Ion Stoica, one of the creators of Apache Spark and CEO of Databricks, will answer questions from the audience about what Spark is and why it's being lauded as the best&#8230;]]></description>
		<wfw:commentRss>http://events.gigaom.com/structuredata-2015/session/why-apache-spark-is-the-fast-easy-future-of-big-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>The 5 stories that defined the big data market in 2014</title>
		<link>https://gigaom.com/2015/01/02/the-5-stories-that-defined-the-big-data-market-in-2014/</link>
		<comments>https://gigaom.com/2015/01/02/the-5-stories-that-defined-the-big-data-market-in-2014/#comments</comments>
		<pubDate>Fri, 02 Jan 2015 17:27:38 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Spark]]></category>
		<category><![CDATA[deepmind]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[Watson]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=903494</guid>
		<description><![CDATA[There is no other way to put it: 2014 was a huge year for the big data market. It seems years of talk about what's possible are finally giving way to some&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/02/the-5-stories-that-defined-the-big-data-market-in-2014/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
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		<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>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>Gigaom Structure Data Awards</title>
		<link>http://events.gigaom.com/structuredata-2014/session/gigaom-structure-data-awards/</link>
		<comments>http://events.gigaom.com/structuredata-2014/session/gigaom-structure-data-awards/#comments</comments>
		<pubDate>Wed, 23 Apr 2014 19:07:29 +0000</pubDate>
		<dc:creator><![CDATA[stacey]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Structure Data]]></category>
		<category><![CDATA[Structure Data 2014]]></category>
		<category><![CDATA[Structure:Data]]></category>
		<category><![CDATA[Structure:Data 2014]]></category>

		<guid isPermaLink="false">http://events.gigaom.com/structuredata-2014/session/gigaom-structure-data-awards/</guid>
		<description><![CDATA[For the first time, watch as Gigaom presents it's selections of the best and brightest big data startups with an award and the chance to talk about how they are changing&#8230;]]></description>
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		<slash:comments>0</slash:comments>
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