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	<title>Ingres Webcasts</title>
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	<description>Ingres Webcasts</description>
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<title>Powering Value-Added Information Services with Data Analytics</title>
<description>Hear why Ingres VectorWise, the next generation of analytic database technology, delivers the ability to collect and store large volumes of data and run analytics at the speed of thought. See a "live" demo and experience the fast performance without extensive tuning.&lt;img src="http://feeds.feedburner.com/~r/IngresOnDemandWebcasts/~4/GxNtMvubAtw" height="1" width="1"/&gt;</description>
<pubDate>Thu, 16 Dec 2010 00:00:00 PST</pubDate>
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<item>
<title>Ingres VectorWise - Why Fast Matters</title>
<description>Hear an introduction and overview of the world's fastest, most cost-effective analytic database - Ingres VectorWise. You will gain a broad understanding of VectorWise technology; learn how to install and configure Ingres VectorWise and load test data; watch a "live" demo to see this fast analytic database perform.&lt;img src="http://feeds.feedburner.com/~r/IngresOnDemandWebcasts/~4/zO0bLx5TeCE" height="1" width="1"/&gt;</description>
<pubDate>Wed, 15 Dec 2010 00:00:00 PST</pubDate>
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<item>
<title>Ingres VectorWise - Why Fast Matters</title>
<description>Hear an introduction and overview of the world's fastest, most cost-effective analytic database - Ingres VectorWise. You will gain a broad understanding of VectorWise technology; learn how to install and configure Ingres VectorWise and load test data; watch a "live" demo to see this fast analytic database perform.&lt;img src="http://feeds.feedburner.com/~r/IngresOnDemandWebcasts/~4/zO0bLx5TeCE" height="1" width="1"/&gt;</description>
<pubDate>Wed, 15 Dec 2010 00:00:00 PST</pubDate>
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<item>
<title>Getting Started with Ingres VectorWise in the Amazon Cloud</title>
<description>Witness how simple it is to get started with analytical database technology and Cloud computing.&lt;img src="http://feeds.feedburner.com/~r/IngresOnDemandWebcasts/~4/vRjb-7_YTU4" height="1" width="1"/&gt;</description>
<pubDate>Mon, 01 Nov 2010 00:00:00 PST</pubDate>
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<feedburner:origLink>http://www.ingres.com/about/stream-webcast.php?video=http://info.ingres.com/g/?LC8YO4PCPE=clicksrc:ingres&amp;title=Getting Started with Ingres VectorWise in the Amazon Cloud</feedburner:origLink></item>

<item>
<title>Three Steps to Customer Analytic Success</title>
<description>Hear Mark Van de Wiel, the Director of Product Management for Ingres VectorWise introduce prospective partners to Ingres VectorWise. You will also hear an ISV share his success story with Ingres. No sales speak, just straight-talk about our product regarding: 3 steps to customer analytic success, how Ingres is already helping leading ISVs and SaaS vendors get their applications over to our platform and why Ingres VectorWise provides the most cost-effective solution to your analytics needs.&lt;br /&gt;&lt;br /&gt; &lt;br /&gt; Ingres VectorWise has the performance and tools you need to deliver blazing fast analytics to your customers. Find out how Ingres' deep heritage in the database world, mature toolset and 24x7 support combines with leading edge architecture and column store to deliver blazing performance running on low cost, industry standard hardware.&lt;img src="http://feeds.feedburner.com/~r/IngresOnDemandWebcasts/~4/Ch5BKUsBLB4" height="1" width="1"/&gt;</description>
<pubDate>Tue, 28 Sep 2010 00:00:00 PST</pubDate>
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<item>
<title>How to Install Ingres VectorWise</title>
<description>There is no better way to experience the power of Ingres VectorWise than to run some of your queries against your data in Ingres VectorWise.&lt;br /&gt; &lt;br /&gt; This demonstration will help you get started by showing you how to download and install Ingres VectorWise.&lt;img src="http://feeds.feedburner.com/~r/IngresOnDemandWebcasts/~4/xHzNOZmB284" height="1" width="1"/&gt;</description>
<pubDate>Fri, 03 Sep 2010 00:00:00 PST</pubDate>
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<item>
<title>VectorWise in Pictures with Mary Schulte</title>
<description>High-level but technical, under the covers look at how VectorWise achieves its amazing performance.&lt;img src="http://feeds.feedburner.com/~r/IngresOnDemandWebcasts/~4/QTxELSJuN0M" height="1" width="1"/&gt;</description>
<pubDate>Tue, 24 Aug 2010 00:00:00 PST</pubDate>
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<feedburner:origLink>http://www.ingres.com/about/stream-webcast.php?video=http://downloads.ingres.com/online/media/webcasts/Ingres-VectorWise/VectorWise-In-Pictures-Education.swf&amp;title=VectorWise in Pictures with Mary Schulte</feedburner:origLink></item>

<item>
<title>Blazing Fast BI with Ingres VectorWise and Pentaho</title>
<description>View the on-demand webcast to learn how you can quickly build a high performance end-to-end Business Intelligence infrastructure using Pentaho and Ingres VectorWise.&lt;img src="http://feeds.feedburner.com/~r/IngresOnDemandWebcasts/~4/a2Oks_6qVm4" height="1" width="1"/&gt;</description>
<pubDate>Thu, 12 Aug 2010 00:00:00 PST</pubDate>
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<feedburner:origLink>http://www.ingres.com/about/stream-webcast.php?video=http://info.ingres.com/g/?FVBHQ6WVUW=clicksrc:webcast&amp;title=Blazing Fast BI with Ingres VectorWise and Pentaho</feedburner:origLink></item>

<item>
<title>How to Get Your Data into Ingres VectorWise</title>
<description>Experience the power of Ingres VectorWise today by loading some of your data into Ingres VectorWise and run some of your queries against your data in Ingres VectorWise. This demonstration will help you get started loading data into the database.&lt;img src="http://feeds.feedburner.com/~r/IngresOnDemandWebcasts/~4/SFPy1CI8J2I" height="1" width="1"/&gt;</description>
<pubDate>Thu, 29 Jul 2010 00:00:00 PST</pubDate>
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<item>
<title>Tech Series - Getting Started With Ingres VectorWise</title>
<description>Join John Smedley, Ingres Senior Architect as he shares a technical overview of the Ingres VectorWise architecture. Find out more about this new feature and to understand how to install the product, setup a database and run sample queries.&lt;img src="http://feeds.feedburner.com/~r/IngresOnDemandWebcasts/~4/ddBOKXjBy3o" height="1" width="1"/&gt;</description>
<pubDate>Fri, 16 Jul 2010 00:00:00 PST</pubDate>
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