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	<title>Gigaom Search &#187; Databricks</title>
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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>
		</item>
		<item>
		<title>Survey reveals a few interesting numbers about Apache Spark</title>
		<link>https://gigaom.com/2015/01/27/a-few-interesting-numbers-about-apache-spark/</link>
		<comments>https://gigaom.com/2015/01/27/a-few-interesting-numbers-about-apache-spark/#comments</comments>
		<pubDate>Tue, 27 Jan 2015 20:00:21 +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[stream processing]]></category>
		<category><![CDATA[Typesafe]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=910109</guid>
		<description><![CDATA[A new survey from startups Databricks and Typesafe revealed some interesting insights into how software developers are using the Apache Spark data-processing framework. Spark is an open source project that has&#8230;]]></description>
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		<slash:comments>0</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>
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		<title>Databricks announces a Spark cloud and $33M in venture capital</title>
		<link>https://gigaom.com/2014/06/30/databricks-announces-a-spark-cloud-and-33m-in-venture-capital/</link>
		<comments>https://gigaom.com/2014/06/30/databricks-announces-a-spark-cloud-and-33m-in-venture-capital/#comments</comments>
		<pubDate>Mon, 30 Jun 2014 17:20:29 +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=854288</guid>
		<description><![CDATA[Big data startup Databricks keeps humming along, announcing on Monday a large round of venture capital and a new cloud service that aims to seed adoption of Spark -- a framework&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/06/30/databricks-announces-a-spark-cloud-and-33m-in-venture-capital/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>4 reasons why Spark could jolt Hadoop into hyperdrive</title>
		<link>https://gigaom.com/2014/06/28/4-reasons-why-spark-could-jolt-hadoop-into-hyperdrive/</link>
		<comments>https://gigaom.com/2014/06/28/4-reasons-why-spark-could-jolt-hadoop-into-hyperdrive/#comments</comments>
		<pubDate>Sat, 28 Jun 2014 16:27:19 +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=854124</guid>
		<description><![CDATA[Apache Spark might push MapReduce to the back burner faster than some people might like, but it will also boost the Hadoop overall ecosystem. The project's co-creator Matei Zaharia explains why&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/06/28/4-reasons-why-spark-could-jolt-hadoop-into-hyperdrive/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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		<title>Is the MapReduce era coming to an end?  Maybe, says one of Spark&#8217;s founders</title>
		<link>https://gigaom.com/2014/06/26/is-the-mapreduce-era-coming-to-an-end-maybe-says-one-of-sparks-founders/</link>
		<comments>https://gigaom.com/2014/06/26/is-the-mapreduce-era-coming-to-an-end-maybe-says-one-of-sparks-founders/#comments</comments>
		<pubDate>Thu, 26 Jun 2014 08:23:27 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Databricks]]></category>
		<category><![CDATA[Spark]]></category>
		<category><![CDATA[Structure Show]]></category>
		<category><![CDATA[The Structure Show]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=853368</guid>
		<description><![CDATA[Matei Zaharia is a big Spark booster. He helped build the project into the force it's become in big data analytics and is CTO of Databricks.]]></description>
		<wfw:commentRss>https://gigaom.com/2014/06/26/is-the-mapreduce-era-coming-to-an-end-maybe-says-one-of-sparks-founders/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Spark is a really big deal for big data, and Cloudera gets it</title>
		<link>https://gigaom.com/2013/10/28/spark-is-a-really-big-deal-for-big-data-and-cloudera-gets-it/</link>
		<comments>https://gigaom.com/2013/10/28/spark-is-a-really-big-deal-for-big-data-and-cloudera-gets-it/#comments</comments>
		<pubDate>Mon, 28 Oct 2013 22:36:19 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Databricks]]></category>
		<category><![CDATA[in memory processing]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Spark]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=709841</guid>
		<description><![CDATA[Cloudera has partnered with a startup called Databricks to integrate and support the Apache Spark data-processing platform within Cloudera's Hadoop software. Spark, which is designed for speed and usability, is one&#8230;]]></description>
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		<slash:comments>1</slash:comments>
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		<item>
		<title>Databricks raises $14M from Andreessen Horowitz, wants to take on MapReduce with Spark</title>
		<link>https://gigaom.com/2013/09/25/databricks-raises-14m-from-andreessen-horowitz-wants-to-take-on-mapreduce-with-spark/</link>
		<comments>https://gigaom.com/2013/09/25/databricks-raises-14m-from-andreessen-horowitz-wants-to-take-on-mapreduce-with-spark/#comments</comments>
		<pubDate>Thu, 26 Sep 2013 05:52:11 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AMPLab]]></category>
		<category><![CDATA[Databricks]]></category>
		<category><![CDATA[in-memory]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Shark]]></category>
		<category><![CDATA[Spark]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=696031</guid>
		<description><![CDATA[A team of professors behind the open source Spark and Shark in-memory big data projects has raised $13.9 million to commercialize the products via a company called Databricks. Spark and Shark&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/09/25/databricks-raises-14m-from-andreessen-horowitz-wants-to-take-on-mapreduce-with-spark/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
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