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		<title>Big Visualization: Putting the Big Data Focus on the Insights</title>
		<link>http://research.gigaom.com/webinar/big-visualization-putting-the-big-data-focus-on-the-insights/</link>
		<comments>http://research.gigaom.com/webinar/big-visualization-putting-the-big-data-focus-on-the-insights/#comments</comments>
		<pubDate>Thu, 05 Mar 2015 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[William McKnight]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Big Data visualization]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=245891</guid>
		<description><![CDATA[Data is the key “raw material” driving businesses today, and it is ushering us into the next revolution.  New manufacturing processes in the 1700s and 1800s completely transformed how goods were&#8230;]]></description>
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		<title>Embedded BI: Delivering frictionless data analytics</title>
		<link>http://research.gigaom.com/webinar/embedded-bi-delivering-frictionless-data-analytics/</link>
		<comments>http://research.gigaom.com/webinar/embedded-bi-delivering-frictionless-data-analytics/#comments</comments>
		<pubDate>Wed, 25 Feb 2015 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Paul Miller]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Embedded BI]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=244902</guid>
		<description><![CDATA[Data analysts have plenty of tools for business intelligence, data discovery and visualization.  Self-service is almost a given, and cloud options abound.  So how can BI get to the next stage,&#8230;]]></description>
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		<title>Data Management for Production Hadoop Data Lakes</title>
		<link>http://research.gigaom.com/webinar/data-management-for-production-hadoop-data-lakes/</link>
		<comments>http://research.gigaom.com/webinar/data-management-for-production-hadoop-data-lakes/#comments</comments>
		<pubDate>Tue, 24 Feb 2015 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Paul Miller]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Data Lakes]]></category>
		<category><![CDATA[data management]]></category>
		<category><![CDATA[enterprise data warehouse]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=244659</guid>
		<description><![CDATA[In the new world of “data lakes,” where raw data is collected for subsequent discovery and analysis, lies the task of managed data ingestion. While data lakes may dispense with the&#8230;]]></description>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Machine Learning for business users and enterprise developers</title>
		<link>http://research.gigaom.com/webinar/machine-learning-for-business-users-and-enterprise-developers/</link>
		<comments>http://research.gigaom.com/webinar/machine-learning-for-business-users-and-enterprise-developers/#comments</comments>
		<pubDate>Thu, 12 Feb 2015 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:MSFT]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:MSFT]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=244895</guid>
		<description><![CDATA[Machine Learning has been around for well over a decade and, with the rise of “Big Data” analytics, has become especially prominent in the last few years.  Many companies are now&#8230;]]></description>
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		<title>Big Data Application Development: Why it Matters</title>
		<link>http://research.gigaom.com/webinar/big-data-application-development-why-it-matters/</link>
		<comments>http://research.gigaom.com/webinar/big-data-application-development-why-it-matters/#comments</comments>
		<pubDate>Wed, 04 Feb 2015 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Big Data Application]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=244089</guid>
		<description><![CDATA[Big Data is still in its early stages of life; to get to the next stage, its integration with core enterprise technologies needs to get better. Chief among the enterprise environments&#8230;]]></description>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Hadoop: DIY tool or cloud-based service?</title>
		<link>http://research.gigaom.com/webinar/hadoop-diy-tool-or-cloud-based-service/</link>
		<comments>http://research.gigaom.com/webinar/hadoop-diy-tool-or-cloud-based-service/#comments</comments>
		<pubDate>Tue, 16 Dec 2014 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Andrew Brust]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cloud infrastructure]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=242114</guid>
		<description><![CDATA[Hadoop is critical to most Big Data infrastructures, but taking a do-it-yourself approach to setting up and managing your Hadoop clusters shouldn’t be a requirement.  Using Hadoop as an engine makes&#8230;]]></description>
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		<slash:comments>0</slash:comments>
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		<title>Social Media Data in Application Development</title>
		<link>http://research.gigaom.com/webinar/social-media-data-in-application-development/</link>
		<comments>http://research.gigaom.com/webinar/social-media-data-in-application-development/#comments</comments>
		<pubDate>Thu, 04 Dec 2014 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Paul Miller]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[application development]]></category>
		<category><![CDATA[software development]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=240945</guid>
		<description><![CDATA[Most developers know that social media streams produce a huge volume of data and can be used to discern trending topics and brand sentiment. While that may seem like a niche&#8230;]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>User Driven BI in the Cloud and Within Your Application</title>
		<link>http://research.gigaom.com/webinar/user-driven-bi-in-the-cloud-and-within-your-application/</link>
		<comments>http://research.gigaom.com/webinar/user-driven-bi-in-the-cloud-and-within-your-application/#comments</comments>
		<pubDate>Thu, 20 Nov 2014 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[William McKnight]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cloud applications]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=240923</guid>
		<description><![CDATA[If you’re responsible for delivery of a .NET application and your users have analytics requirements, you have some decisions to make. Having your development team “roll its own” analytics functionality will&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/webinar/user-driven-bi-in-the-cloud-and-within-your-application/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Analytics awareness beyond IT</title>
		<link>http://research.gigaom.com/chart/analytics-awareness-beyond-it/</link>
		<comments>http://research.gigaom.com/chart/analytics-awareness-beyond-it/#comments</comments>
		<pubDate>Tue, 11 Nov 2014 17:19:40 +0000</pubDate>
		<dc:creator><![CDATA[Lynn Langit]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=240183</guid>
		<description><![CDATA[More than half of the respondents who are familiar with analytic concepts perform a function outside of IT in their organizations.]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Preferred tools for cloud big-data projects</title>
		<link>http://research.gigaom.com/chart/preferred-tools-for-cloud-big-data-projects/</link>
		<comments>http://research.gigaom.com/chart/preferred-tools-for-cloud-big-data-projects/#comments</comments>
		<pubDate>Tue, 11 Nov 2014 17:16:50 +0000</pubDate>
		<dc:creator><![CDATA[Lynn Langit]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[analytic tools]]></category>
		<category><![CDATA[data visualization tools]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-datamodule&#038;p=238009</guid>
		<description><![CDATA[Enterprises value minimal disruption and prefer reusing familiar tools and techniques whenever possible on cloud big-data projects.]]></description>
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		<slash:comments>0</slash:comments>
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