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	<title>Gigaom Search &#187; Technologies and Products &#187; data warehouses</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>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:FB]]></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>Cloud-Based Billing Solutions in 2015</title>
		<link>http://research.gigaom.com/report/cloud-based-billing-solutions-in-2015/</link>
		<comments>http://research.gigaom.com/report/cloud-based-billing-solutions-in-2015/#comments</comments>
		<pubDate>Thu, 19 Feb 2015 21:18:13 +0000</pubDate>
		<dc:creator><![CDATA[David S. Linthicum]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cloud infrastructure]]></category>
		<category><![CDATA[cloud security]]></category>
		<category><![CDATA[cloud-based billing]]></category>
		<category><![CDATA[regulated industries]]></category>
		<category><![CDATA[regulations]]></category>
		<category><![CDATA[tco]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=245730/</guid>
		<description><![CDATA[Cloud-based billing solutions give organizations an enterprise billing application without all the IT involvement and budget concerns.]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/cloud-based-billing-solutions-in-2015/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>What happens when too few databases become too many databases?</title>
		<link>https://gigaom.com/2015/02/04/what-happens-when-too-few-databases-becomes-too-many-databases/</link>
		<comments>https://gigaom.com/2015/02/04/what-happens-when-too-few-databases-becomes-too-many-databases/#comments</comments>
		<pubDate>Wed, 04 Feb 2015 13:00:50 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data siloes]]></category>
		<category><![CDATA[Paxata]]></category>
		<category><![CDATA[Structure Data]]></category>
		<category><![CDATA[Structure:Data]]></category>
		<category><![CDATA[tamr]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=911736</guid>
		<description><![CDATA[So here's some irony for you: For years, Andy Palmer and his oft-time startup partner Michael Stonebraker have pointed out that database software is not a one-size-fits-all proposition. Companies, they said,&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/04/what-happens-when-too-few-databases-becomes-too-many-databases/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>Hadoop&#8217;s new role: Adjunct data warehouse</title>
		<link>http://gigaom.com/2015/02/01/hadoops-new-role-adjunct-data-warehouse/</link>
		<comments>http://gigaom.com/2015/02/01/hadoops-new-role-adjunct-data-warehouse/#comments</comments>
		<pubDate>Sun, 01 Feb 2015 14:00:50 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[adjunct data warehouse]]></category>
		<category><![CDATA[SQL on Hadoop]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=911467</guid>
		<description><![CDATA[There was a time, a little over two years ago, when SQL-on-Hadoop was about cracking open access to Hadoop data for those with SQL skillsets and eliminating the exclusivity of access&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/02/01/hadoops-new-role-adjunct-data-warehouse/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Sector Roadmap: Hadoop/Data Warehouse Interoperability</title>
		<link>http://research.gigaom.com/report/sector-roadmap-hadoopdata-warehouse-interoperability/</link>
		<comments>http://research.gigaom.com/report/sector-roadmap-hadoopdata-warehouse-interoperability/#comments</comments>
		<pubDate>Thu, 29 Jan 2015 15:59:05 +0000</pubDate>
		<dc:creator><![CDATA[George Gilbert]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data lake]]></category>
		<category><![CDATA[SQL on Hadoop]]></category>
		<category><![CDATA[YARN]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:ORCL]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=244548/</guid>
		<description><![CDATA[With virtually every Hadoop distribution vendor offering SQL-on-Hadoop solutions, the key factor in the market is now the integration between Hadoop and data warehouse technology.]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Outlook: Big data and analytics in 2015</title>
		<link>http://research.gigaom.com/report/outlook-big-data-and-analytics-in-2015/</link>
		<comments>http://research.gigaom.com/report/outlook-big-data-and-analytics-in-2015/#comments</comments>
		<pubDate>Tue, 23 Dec 2014 15:00:36 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Alticscale]]></category>
		<category><![CDATA[Apache Drill]]></category>
		<category><![CDATA[hadoop as a service]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[pig]]></category>
		<category><![CDATA[Qubole]]></category>
		<category><![CDATA[RBAC]]></category>
		<category><![CDATA[Splice Machine]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
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		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:HPQ]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=243243/</guid>
		<description><![CDATA[The year 2015 will be one in which data and analytics technologies become more standardized, more broadly adopted, and more successful.]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/outlook-big-data-and-analytics-in-2015/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Teradata dives further into Hadoop with RainStor acquisition</title>
		<link>https://gigaom.com/2014/12/17/teradata-dives-further-into-hadoop-with-rainstor-acquisition/</link>
		<comments>https://gigaom.com/2014/12/17/teradata-dives-further-into-hadoop-with-rainstor-acquisition/#comments</comments>
		<pubDate>Wed, 17 Dec 2014 19:30:36 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[RainStor]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=901165</guid>
		<description><![CDATA[Data warehouse vendor  has made its fourth acquisition of the year, announcing on Wednesday it has bought data-archiving specialist RainStor for an undisclosed amount. RainStor builds an archival system that&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/17/teradata-dives-further-into-hadoop-with-rainstor-acquisition/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Leveraging cloud-based analytics for crowdsourced intelligence</title>
		<link>http://research.gigaom.com/report/leveraging-cloud-based-analytics-for-crowdsourced-intelligence/</link>
		<comments>http://research.gigaom.com/report/leveraging-cloud-based-analytics-for-crowdsourced-intelligence/#comments</comments>
		<pubDate>Tue, 02 Dec 2014 16:00:35 +0000</pubDate>
		<dc:creator><![CDATA[David Loshin]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[crowdsourcing]]></category>
		<category><![CDATA[Platform as a Service]]></category>
		<category><![CDATA[ServiceChannel]]></category>
		<category><![CDATA[software distribution]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:FB]]></category>
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		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSYE:CRM]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=242238/</guid>
		<description><![CDATA[By pooling their business intelligence data through specialized service providers, companies can potentially get access to new insights and benchmarks from the collective data.]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/leveraging-cloud-based-analytics-for-crowdsourced-intelligence/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>LinkedIn explains its complex Gobblin big data framework</title>
		<link>https://gigaom.com/2014/11/26/linkedin-explains-its-complex-gobblin-big-data-framework/</link>
		<comments>https://gigaom.com/2014/11/26/linkedin-explains-its-complex-gobblin-big-data-framework/#comments</comments>
		<pubDate>Wed, 26 Nov 2014 20:53:36 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Apache Hadoop]]></category>
		<category><![CDATA[Centralized computing]]></category>
		<category><![CDATA[event-logging systems]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NSYE:CRM]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:LNKD]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=896634</guid>
		<description><![CDATA[LinkedIn shed more light Tuesday on a big-data framework dubbed Gobblin that helps the social network take in tons of data from a variety of sources so that it can be&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/26/linkedin-explains-its-complex-gobblin-big-data-framework/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Amazon declares war on Oracle (again) with new Aurora database</title>
		<link>https://gigaom.com/2014/11/12/amazon-declares-war-on-oracle-again-with-new-aurora-database/</link>
		<comments>https://gigaom.com/2014/11/12/amazon-declares-war-on-oracle-again-with-new-aurora-database/#comments</comments>
		<pubDate>Wed, 12 Nov 2014 17:45:07 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AWS Re:invent 2014]]></category>
		<category><![CDATA[Re:invent 2014]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=888222</guid>
		<description><![CDATA[The first reveal of AWS Re:invent 2014. Aurora a MySQL-compatible relational database engine to take on Oracle et al. Also lots of goodies for developers including continuous integration and a managed&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/12/amazon-declares-war-on-oracle-again-with-new-aurora-database/feed/</wfw:commentRss>
		<slash:comments>17</slash:comments>
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