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	<title>Comments on: Thinking about analytic speed</title>
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	<link>http://www.dbms2.com/2009/09/10/analytic-speed-latency/</link>
	<description>Choices in data management and analysis</description>
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		<title>By: Agile predictive analytics &#8212; the &#8220;easy&#8221; parts : DBMS 2 : DataBase Management System Services</title>
		<link>http://www.dbms2.com/2009/09/10/analytic-speed-latency/#comment-262829</link>
		<dc:creator>Agile predictive analytics &#8212; the &#8220;easy&#8221; parts : DBMS 2 : DataBase Management System Services</dc:creator>
		<pubDate>Mon, 28 Nov 2011 19:40:04 +0000</pubDate>
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		<description>[...] back to analysis time. And any decent analytic technology stack can give sub-hour latency; while that may not suffice from all standpoints, it&#8217;s plenty fast enough for analysis-time [...]</description>
		<content:encoded><![CDATA[<p>[...] back to analysis time. And any decent analytic technology stack can give sub-hour latency; while that may not suffice from all standpoints, it&#8217;s plenty fast enough for analysis-time [...]</p>
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		<title>By: What to think about BEFORE you make a technology decision &#124; DBMS 2 : DataBase Management System Services</title>
		<link>http://www.dbms2.com/2009/09/10/analytic-speed-latency/#comment-228961</link>
		<dc:creator>What to think about BEFORE you make a technology decision &#124; DBMS 2 : DataBase Management System Services</dc:creator>
		<pubDate>Sun, 26 Jun 2011 18:51:10 +0000</pubDate>
		<guid isPermaLink="false">http://www.dbms2.com/?p=880#comment-228961</guid>
		<description>[...] query load /concurrent user count. Similarly important are requirements for various kinds of latency, the big two being query response time and how long it takes for data to first be available for [...]</description>
		<content:encoded><![CDATA[<p>[...] query load /concurrent user count. Similarly important are requirements for various kinds of latency, the big two being query response time and how long it takes for data to first be available for [...]</p>
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	<item>
		<title>By: Three ways Fedex is a metaphor for data integration &#124; DBMS 2 : DataBase Management System Services</title>
		<link>http://www.dbms2.com/2009/09/10/analytic-speed-latency/#comment-211911</link>
		<dc:creator>Three ways Fedex is a metaphor for data integration &#124; DBMS 2 : DataBase Management System Services</dc:creator>
		<pubDate>Sun, 06 Mar 2011 13:46:04 +0000</pubDate>
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		<description>[...] latency SLA (Service-Level Agreement) they really do require. Similarly, enterprises can have a very broad range of latency requirements for data integration &#8212; and the simplest way to meet your latency SLAs might be by delivering [...]</description>
		<content:encoded><![CDATA[<p>[...] latency SLA (Service-Level Agreement) they really do require. Similarly, enterprises can have a very broad range of latency requirements for data integration &#8212; and the simplest way to meet your latency SLAs might be by delivering [...]</p>
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