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	<title>Comments on: High-performance analytics</title>
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	<link>http://www.dbms2.com/2008/11/15/high-performance-analytics/</link>
	<description>Choices in data management and analysis</description>
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		<title>By: Gartner&#8217;s 2008 data warehouse database management system Magic Quadrant is out &#124; DBMS 2 : DataBase Management System Services</title>
		<link>http://www.dbms2.com/2008/11/15/high-performance-analytics/#comment-207436</link>
		<dc:creator>Gartner&#8217;s 2008 data warehouse database management system Magic Quadrant is out &#124; DBMS 2 : DataBase Management System Services</dc:creator>
		<pubDate>Sat, 05 Feb 2011 11:17:30 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=623#comment-207436</guid>
		<description>[...] SQL 2003 and further features in integrated analytics. [...]</description>
		<content:encoded><![CDATA[<p>[...] SQL 2003 and further features in integrated analytics. [...]</p>
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	<item>
		<title>By: Another dubious &#8220;end of computer history&#8221; argument &#124; DBMS2 -- DataBase Management System Services</title>
		<link>http://www.dbms2.com/2008/11/15/high-performance-analytics/#comment-102764</link>
		<dc:creator>Another dubious &#8220;end of computer history&#8221; argument &#124; DBMS2 -- DataBase Management System Services</dc:creator>
		<pubDate>Wed, 26 Nov 2008 04:04:59 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=623#comment-102764</guid>
		<description>[...] Kognitio, and Greenplum each have run on configurations with over 100 processors or cores.* Other analytic processing – data mining, geospatial analysis, etc. &#8212; benefits from massive parallelization as well. [...]</description>
		<content:encoded><![CDATA[<p>[...] Kognitio, and Greenplum each have run on configurations with over 100 processors or cores.* Other analytic processing – data mining, geospatial analysis, etc. &#8212; benefits from massive parallelization as well. [...]</p>
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	<item>
		<title>By: Dave</title>
		<link>http://www.dbms2.com/2008/11/15/high-performance-analytics/#comment-102661</link>
		<dc:creator>Dave</dc:creator>
		<pubDate>Mon, 24 Nov 2008 20:49:41 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=623#comment-102661</guid>
		<description>CAM,
Sadly I cannot elaborate much since most of our SQL based techniques are IP and can&#039;t be shared in a public forum.  I can say that many signal detection, scoring, interpolation, and fuzzy matching techniques can be coded with creative SQL.
-D</description>
		<content:encoded><![CDATA[<p>CAM,<br />
Sadly I cannot elaborate much since most of our SQL based techniques are IP and can&#8217;t be shared in a public forum.  I can say that many signal detection, scoring, interpolation, and fuzzy matching techniques can be coded with creative SQL.<br />
-D</p>
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	</item>
	<item>
		<title>By: Curt Monash</title>
		<link>http://www.dbms2.com/2008/11/15/high-performance-analytics/#comment-102651</link>
		<dc:creator>Curt Monash</dc:creator>
		<pubDate>Mon, 24 Nov 2008 19:15:17 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=623#comment-102651</guid>
		<description>Dave,

Exactly!  

Would you care to elaborate further? :)

Best,

CAM</description>
		<content:encoded><![CDATA[<p>Dave,</p>
<p>Exactly!  </p>
<p>Would you care to elaborate further? <img src='http://www.dbms2.com/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> </p>
<p>Best,</p>
<p>CAM</p>
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	</item>
	<item>
		<title>By: Dave</title>
		<link>http://www.dbms2.com/2008/11/15/high-performance-analytics/#comment-102643</link>
		<dc:creator>Dave</dc:creator>
		<pubDate>Mon, 24 Nov 2008 18:11:09 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=623#comment-102643</guid>
		<description>You should mention leveraging SQL analytic functions on other SQL capabilities.  If one can code complex &quot;in database&quot; SQL it will often blow the pajamas off the time to transfer/crunch an equivalent SAS-&gt;data dump-&gt; crunch data approach.  IF one can code equivalents to FOR/NEXT loops (e.g. via row_number() with logic), IF/THEN constructs (via CASE/WHEN) and procedural flow (via nested in line views) there are many set based approaches where one can take on problems previously in the SAS/SPSS/&quot;R&quot; domain.  -D</description>
		<content:encoded><![CDATA[<p>You should mention leveraging SQL analytic functions on other SQL capabilities.  If one can code complex &#8220;in database&#8221; SQL it will often blow the pajamas off the time to transfer/crunch an equivalent SAS-&gt;data dump-&gt; crunch data approach.  IF one can code equivalents to FOR/NEXT loops (e.g. via row_number() with logic), IF/THEN constructs (via CASE/WHEN) and procedural flow (via nested in line views) there are many set based approaches where one can take on problems previously in the SAS/SPSS/&#8221;R&#8221; domain.  -D</p>
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	<item>
		<title>By: Beyond query &#124; DBMS2 -- DataBase Management System Services</title>
		<link>http://www.dbms2.com/2008/11/15/high-performance-analytics/#comment-101974</link>
		<dc:creator>Beyond query &#124; DBMS2 -- DataBase Management System Services</dc:creator>
		<pubDate>Sat, 15 Nov 2008 19:40:05 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=623#comment-101974</guid>
		<description>[...] the only way in which data warehousing issues go “beyond query”; another important subject is high-performance analytics.   Share: These icons link to social bookmarking sites where readers can share and discover new web [...]</description>
		<content:encoded><![CDATA[<p>[...] the only way in which data warehousing issues go “beyond query”; another important subject is high-performance analytics.   Share: These icons link to social bookmarking sites where readers can share and discover new web [...]</p>
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