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	<title>Gigaom Search &#187; data science</title>
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		<title>Airbnb open sources SQL tool built on Facebook&#8217;s Presto database</title>
		<link>http://gigaom.com/2015/03/05/airbnb-open-sources-sql-tool-built-on-facebooks-presto-database/</link>
		<comments>http://gigaom.com/2015/03/05/airbnb-open-sources-sql-tool-built-on-facebooks-presto-database/#comments</comments>
		<pubDate>Thu, 05 Mar 2015 17:13:00 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Airpal]]></category>
		<category><![CDATA[data democratization]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[Presto]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=919092</guid>
		<description><![CDATA[Apartment-sharing startup Airbnb has open sourced a tool called Airpal that the company built to give more of its employees access to the data they need for their jobs. Airpal is built&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/03/05/airbnb-open-sources-sql-tool-built-on-facebooks-presto-database/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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		<title>Data might be the new oil, but a lot of us just need gasoline</title>
		<link>http://gigaom.com/2015/03/04/data-might-be-the-new-oil-but-a-lot-of-us-just-need-gasoline/</link>
		<comments>http://gigaom.com/2015/03/04/data-might-be-the-new-oil-but-a-lot-of-us-just-need-gasoline/#comments</comments>
		<pubDate>Thu, 05 Mar 2015 01:25:13 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data democratization]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[Open Data]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=918929</guid>
		<description><![CDATA[One of the biggest tropes in the era of big data is that data is the new oil -- it's very valuable to the companies that have it, but only after&#8230;]]></description>
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		<slash:comments>1</slash:comments>
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		<item>
		<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>The 4 things (at least) you&#8217;ll learn about at Structure Data</title>
		<link>http://gigaom.com/2015/02/19/the-4-things-at-least-youll-learn-about-at-structure-data/</link>
		<comments>http://gigaom.com/2015/02/19/the-4-things-at-least-youll-learn-about-at-structure-data/#comments</comments>
		<pubDate>Thu, 19 Feb 2015 17:34:45 +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[Structure Data 2015]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=915784</guid>
		<description><![CDATA[Gigaom's Structure Data conference is less than a month away, kicking off March 18 in New York. There are a lot of reasons to attend -- great location, great networking, free drinks --&#8230;]]></description>
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		<slash:comments>1</slash:comments>
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		<item>
		<title>Analytics startup Mode wants to give SQL a shiny home in the cloud</title>
		<link>https://gigaom.com/2015/02/05/data-collaboration-platform-mode-wants-to-move-sql-to-the-cloud/</link>
		<comments>https://gigaom.com/2015/02/05/data-collaboration-platform-mode-wants-to-move-sql-to-the-cloud/#comments</comments>
		<pubDate>Thu, 05 Feb 2015 21:28:15 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=912892</guid>
		<description><![CDATA[Mode, a startup that's trying to be something like a GitHub for data scientists, has added new features to its collaboration platform that make it easier to write SQL queries and&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/05/data-collaboration-platform-mode-wants-to-move-sql-to-the-cloud/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Why data science matters and how technology makes it possible</title>
		<link>https://gigaom.com/2015/01/24/why-data-science-matters-and-how-technology-makes-it-possible/</link>
		<comments>https://gigaom.com/2015/01/24/why-data-science-matters-and-how-technology-makes-it-possible/#comments</comments>
		<pubDate>Sat, 24 Jan 2015 18:06:38 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[data scientists]]></category>
		<category><![CDATA[Fast Forward Labs]]></category>
		<category><![CDATA[sensor data]]></category>
		<category><![CDATA[stream processing]]></category>
		<category><![CDATA[Structure Data 2015]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=909496</guid>
		<description><![CDATA[When Hilary Mason talks about data, it's a good idea to listen. She was chief data scientist at Bit.ly, data scientist in residence at venture capital firm Accel Partners, and is&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/24/why-data-science-matters-and-how-technology-makes-it-possible/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<title>Microsoft buys data science specialist Revolution Analytics</title>
		<link>https://gigaom.com/2015/01/23/microsoft-buys-data-science-specialist-revolution-analytics/</link>
		<comments>https://gigaom.com/2015/01/23/microsoft-buys-data-science-specialist-revolution-analytics/#comments</comments>
		<pubDate>Fri, 23 Jan 2015 17:16:20 +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[open source]]></category>
		<category><![CDATA[predictive modeling]]></category>
		<category><![CDATA[R]]></category>
		<category><![CDATA[Revolution Analytics]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=909229</guid>
		<description><![CDATA[Microsoft has agreed to acquire Revolution Analytics, a company built around commercial software and support for the popular R statistical computing project. The open source R project is hugely popular among data&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/23/microsoft-buys-data-science-specialist-revolution-analytics/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>Here are the winners of the 2015 Structure Data Awards</title>
		<link>https://gigaom.com/2015/01/21/highlighting-the-best-startups-of-2014-at-structure-data/</link>
		<comments>https://gigaom.com/2015/01/21/highlighting-the-best-startups-of-2014-at-structure-data/#comments</comments>
		<pubDate>Wed, 21 Jan 2015 17:30:54 +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[Structure Data 2015]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=907648</guid>
		<description><![CDATA[The second-annual Structure Data Awards are here, where Gigaom picks the most-interesting and most-promising data startups that launched in the previous year. The winners, which range from a non-profit data science&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/21/highlighting-the-best-startups-of-2014-at-structure-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>Netflix is open sourcing tools for analyzing data in Hadoop</title>
		<link>https://gigaom.com/2015/01/21/netflix-is-open-sourcing-tools-for-analyzing-data-in-hadoop/</link>
		<comments>https://gigaom.com/2015/01/21/netflix-is-open-sourcing-tools-for-analyzing-data-in-hadoop/#comments</comments>
		<pubDate>Wed, 21 Jan 2015 17:17:16 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Hive]]></category>
		<category><![CDATA[Apache Pig]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[predictive models]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=908412</guid>
		<description><![CDATA[The data team at  is opening sourcing some of the tools it uses to analyze data stored in Hadoop. The overall open source project is called Surus, and it focuses on&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/21/netflix-is-open-sourcing-tools-for-analyzing-data-in-hadoop/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Big-data-based food startup Hampton Creek raises $90M</title>
		<link>https://gigaom.com/2014/12/18/big-data-based-food-startup-hampton-creek-raises-90m/</link>
		<comments>https://gigaom.com/2014/12/18/big-data-based-food-startup-hampton-creek-raises-90m/#comments</comments>
		<pubDate>Thu, 18 Dec 2014 15:00:06 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[food startups]]></category>
		<category><![CDATA[Hampton Creek]]></category>
		<category><![CDATA[machine learning]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=901332</guid>
		<description><![CDATA[Hampton Creek, a San Francisco startup that uses advanced data analysis to develop eco-conscious, egg-free food products, has raised a $90 million series C round of venture from a collection of big-name&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/18/big-data-based-food-startup-hampton-creek-raises-90m/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
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