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	<title>Comments on: Big scientific databases need to be stored somehow</title>
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	<description>Choices in data management and analysis</description>
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		<title>By: Dave</title>
		<link>http://www.dbms2.com/2008/11/07/big-scientific-databases-need-to-be-stored-somehow/#comment-101684</link>
		<dc:creator>Dave</dc:creator>
		<pubDate>Tue, 11 Nov 2008 18:13:10 +0000</pubDate>
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		<description>I think the discussion extends into SQL based analytics vs. using the database as only a data repository for pulling and landing filtered (yet still massive) amounts of data somewhere for SAS/SPSS/R to poke at.  If the problem can be framed as set based SQL using CASE WHENs, Inline views and analytic functions the answers will often be available before the equivalant SAS set has finished landing.

Just my $0.02</description>
		<content:encoded><![CDATA[<p>I think the discussion extends into SQL based analytics vs. using the database as only a data repository for pulling and landing filtered (yet still massive) amounts of data somewhere for SAS/SPSS/R to poke at.  If the problem can be framed as set based SQL using CASE WHENs, Inline views and analytic functions the answers will often be available before the equivalant SAS set has finished landing.</p>
<p>Just my $0.02</p>
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