<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:georss="http://www.georss.org/georss" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:media="http://search.yahoo.com/mrss/"
		>
<channel>
	<title>Comments on: STRUCTURE 08: Overclocking and Analytics</title>
	<atom:link href="http://gigaom.com/2008/06/25/structure-08-overclocking-and-analytics/feed/" rel="self" type="application/rss+xml" />
	<link>http://gigaom.com/2008/06/25/structure-08-overclocking-and-analytics/</link>
	<description>Trusted Insights and Conversations on the Next Wave of Technology</description>
	<lastBuildDate>Thu, 26 Nov 2009 06:47:41 +0000</lastBuildDate>
	<generator>http://wordpress.com/</generator>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
		<item>
		<title>By: Damian Black</title>
		<link>http://gigaom.com/2008/06/25/structure-08-overclocking-and-analytics/#comment-892821</link>
		<dc:creator>Damian Black</dc:creator>
		<pubDate>Sat, 09 Aug 2008 01:54:20 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/2008/06/25/structure-08-overclocking-and-analytics/#comment-892821</guid>
		<description>&lt;p&gt;It was great to hear what the emerging next generation data warehousing vendors were planning to combat the exploding growth of data arising from the Internet.  SQLstream (http://www.sqlstream.com) is positioned to perfectly complement all of these approaches by offloading their continuous ETL and handling their truly real-time queries with its streaming SQL engine that processes the data while still on the wire.&lt;/p&gt;

&lt;p&gt;There is an elegant symmetry here - with SQLstream processing the data arriving and yet to arrive (querying the future) and the data warehouses processing the data that has arrived and been stored (querying the past).&lt;/p&gt;

&lt;p&gt;Both are needed to effectively address all application needs.&lt;/p&gt;
</description>
		<content:encoded><![CDATA[<p>It was great to hear what the emerging next generation data warehousing vendors were planning to combat the exploding growth of data arising from the Internet.  SQLstream (<a href="http://www.sqlstream.com" rel="nofollow">http://www.sqlstream.com</a>) is positioned to perfectly complement all of these approaches by offloading their continuous ETL and handling their truly real-time queries with its streaming SQL engine that processes the data while still on the wire.</p>

<p>There is an elegant symmetry here &#8211; with SQLstream processing the data arriving and yet to arrive (querying the future) and the data warehouses processing the data that has arrived and been stored (querying the past).</p>

<p>Both are needed to effectively address all application needs.</p>]]></content:encoded>
	</item>
	<item>
		<title>By: Steve Wooledge</title>
		<link>http://gigaom.com/2008/06/25/structure-08-overclocking-and-analytics/#comment-885681</link>
		<dc:creator>Steve Wooledge</dc:creator>
		<pubDate>Wed, 25 Jun 2008 20:23:55 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/2008/06/25/structure-08-overclocking-and-analytics/#comment-885681</guid>
		<description>&lt;p&gt;Nice coverage. Very cool to have the sessions video-streaming live, as well. This was a great session with a lot of thought-leaders representing the change upon the database industry. Data volumes and access are simply growing too quickly for traditional approaches to keep pace.&lt;/p&gt;

&lt;p&gt;New applications to automate the analytic process on these massive data sets is a key theme we see being pioneered by Internet companies. More on this idea here: http://www.asterdata.com/blog/index.php/2008/05/20/the-automated-feedback-loop/&lt;/p&gt;
</description>
		<content:encoded><![CDATA[<p>Nice coverage. Very cool to have the sessions video-streaming live, as well. This was a great session with a lot of thought-leaders representing the change upon the database industry. Data volumes and access are simply growing too quickly for traditional approaches to keep pace.</p>

<p>New applications to automate the analytic process on these massive data sets is a key theme we see being pioneered by Internet companies. More on this idea here: <a href="http://www.asterdata.com/blog/index.php/2008/05/20/the-automated-feedback-loop/" rel="nofollow">http://www.asterdata.com/blog/index.php/2008/05/20/the-automated-feedback-loop/</a></p>]]></content:encoded>
	</item>
	<item>
		<title>By: Live Coverage of Structure 08 - GigaOM</title>
		<link>http://gigaom.com/2008/06/25/structure-08-overclocking-and-analytics/#comment-885661</link>
		<dc:creator>Live Coverage of Structure 08 - GigaOM</dc:creator>
		<pubDate>Wed, 25 Jun 2008 19:06:51 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/2008/06/25/structure-08-overclocking-and-analytics/#comment-885661</guid>
		<description>&lt;p&gt;[...] Overclocking and Analytics [...]&lt;/p&gt;
</description>
		<content:encoded><![CDATA[<p>[...] Overclocking and Analytics [...]</p>]]></content:encoded>
	</item>
</channel>
</rss>
