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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>Technology and the Future of Work: Supporting the Modern Enterprise</title>
		<link>http://research.gigaom.com/webinar/technology-and-the-future-of-work-supporting-the-modern-enterprise/</link>
		<comments>http://research.gigaom.com/webinar/technology-and-the-future-of-work-supporting-the-modern-enterprise/#comments</comments>
		<pubDate>Thu, 26 Feb 2015 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Larry Hawes]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[future of work]]></category>
		<category><![CDATA[Modern Enterprise]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=244925</guid>
		<description><![CDATA[The nature of work has changed profoundly in the last several years, and it isn’t done yet. Previously clear departmental lines are blurring, as each builds in-house expertise and budget to&#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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		<slash:comments>0</slash:comments>
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		<item>
		<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>The Lure of Cloud Storage: Transforming on Your Terms</title>
		<link>http://research.gigaom.com/webinar/the-lure-of-cloud-storage-transforming-on-your-terms/</link>
		<comments>http://research.gigaom.com/webinar/the-lure-of-cloud-storage-transforming-on-your-terms/#comments</comments>
		<pubDate>Thu, 19 Feb 2015 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Marc Staimer]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=244041</guid>
		<description><![CDATA[Companies are lured to the public cloud due to some of the inherent benefits including improved flexibility, agility, time to market and lower capital and operational costs associated with the use&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/webinar/the-lure-of-cloud-storage-transforming-on-your-terms/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>Documenting DevOps: Agile, Automation, and Continuous Documentation</title>
		<link>http://research.gigaom.com/webinar/documenting-devops-agile-automation-and-continuous-documentation/</link>
		<comments>http://research.gigaom.com/webinar/documenting-devops-agile-automation-and-continuous-documentation/#comments</comments>
		<pubDate>Wed, 18 Feb 2015 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Paul Miller]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[agile]]></category>
		<category><![CDATA[automation]]></category>
		<category><![CDATA[Continuous documentation]]></category>
		<category><![CDATA[devops]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=244899</guid>
		<description><![CDATA[Agile development is about productivity. While traditional waterfall methodologies support long-term development projects with fixed feature sets, Agile strives to create useful code in constant cycles, providing an ever-evolving product that&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/webinar/documenting-devops-agile-automation-and-continuous-documentation/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>How to Deal With Information Overload in the Multivendor Business Cloud</title>
		<link>http://research.gigaom.com/webinar/how-to-deal-with-information-overload-in-the-multivendor-business-cloud/</link>
		<comments>http://research.gigaom.com/webinar/how-to-deal-with-information-overload-in-the-multivendor-business-cloud/#comments</comments>
		<pubDate>Tue, 17 Feb 2015 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[Larry Hawes]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cloud service providers]]></category>
		<category><![CDATA[data silos]]></category>
		<category><![CDATA[Multivendor cloud]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=244607</guid>
		<description><![CDATA[Many cloud-based services deliver on their promise of low-friction adoption, business agility and scalability. The bad news: The proliferation of SaaS offerings creates a whole new set of data silos. While&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/webinar/how-to-deal-with-information-overload-in-the-multivendor-business-cloud/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<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>
		<wfw:commentRss>http://research.gigaom.com/webinar/machine-learning-for-business-users-and-enterprise-developers/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Iron Clad DevOps Security for your EC2 Environments</title>
		<link>http://research.gigaom.com/webinar/iron-clad-devops-security-for-your-ec2-environments/</link>
		<comments>http://research.gigaom.com/webinar/iron-clad-devops-security-for-your-ec2-environments/#comments</comments>
		<pubDate>Wed, 11 Feb 2015 18:00:00 +0000</pubDate>
		<dc:creator><![CDATA[David S. Linthicum]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[devops]]></category>

		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go_webinar&#038;p=244510</guid>
		<description><![CDATA[The DevOps community looking for rapid service provisioning for many concurrent users is increasingly adopting of Platform-as-a-service (PaaS). PaaS provides tools, manages dependencies and handles integrations with software and middleware, which&#8230;]]></description>
		<wfw:commentRss>http://research.gigaom.com/webinar/iron-clad-devops-security-for-your-ec2-environments/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<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>
		<wfw:commentRss>http://research.gigaom.com/webinar/big-data-application-development-why-it-matters/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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