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	<title>AMIS Technology blog &#187; analytical functions</title>
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		<title>Anti-Search patterns &#8211; SQL to look for what is NOT there &#8211; Part Two</title>
		<link>http://technology.amis.nl/blog/9593/anti-search-patterns-sql-to-look-for-what-is-not-there-part-two</link>
		<comments>http://technology.amis.nl/blog/9593/anti-search-patterns-sql-to-look-for-what-is-not-there-part-two#comments</comments>
		<pubDate>Sat, 25 Dec 2010 08:51:24 +0000</pubDate>
		<dc:creator>Lucas Jellema</dc:creator>
				<category><![CDATA[Database]]></category>
		<category><![CDATA[Devel. + PL/SQL tools]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[aggregate]]></category>
		<category><![CDATA[analytical functions]]></category>
		<category><![CDATA[connect by]]></category>
		<category><![CDATA[dense_rank]]></category>
		<category><![CDATA[outer join]]></category>
		<category><![CDATA[sql]]></category>
		<category><![CDATA[with clause]]></category>

		<guid isPermaLink="false">http://technology.amis.nl/blog/?p=9593</guid>
		<description><![CDATA[It is a strange thing really: querying the database to find missing data. Queries usually report on what is there. Not the queries in this article (and its prequel): they report on what is not there. We explore a number of approaches to uncovering missing information &#8211; because the fact that something is not found [...]]]></description>
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		<title>Oracle Database 11gR2 &#8211; New analytical function NTH_VALUE</title>
		<link>http://technology.amis.nl/blog/6173/oracle-database-11gr2-new-analytical-function-nth_value</link>
		<comments>http://technology.amis.nl/blog/6173/oracle-database-11gr2-new-analytical-function-nth_value#comments</comments>
		<pubDate>Tue, 15 Sep 2009 07:02:50 +0000</pubDate>
		<dc:creator>Lucas Jellema</dc:creator>
				<category><![CDATA[Data Warehousing & BI]]></category>
		<category><![CDATA[Database]]></category>
		<category><![CDATA[Databases]]></category>
		<category><![CDATA[General]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[11gr2]]></category>
		<category><![CDATA[analytical functions]]></category>
		<category><![CDATA[nth_value]]></category>
		<category><![CDATA[sql]]></category>

		<guid isPermaLink="false">http://technology.amis.nl/blog/?p=6173</guid>
		<description><![CDATA[You are probably familiar with the FIRST_VALUE and LAST_VALUE analytical functions that were introduced some time ago into the Oracle RDBMS, in the 9iR2 release I believe (or at least that is when they made their way into the Standard Edition). These values are used to find the first respectively last value in a window [...]]]></description>
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		<title>Reaching Milestones &#8211; some Analytical SQL-etics</title>
		<link>http://technology.amis.nl/blog/5709/reaching-milestones-some-analytical-sql-etics</link>
		<comments>http://technology.amis.nl/blog/5709/reaching-milestones-some-analytical-sql-etics#comments</comments>
		<pubDate>Sun, 28 Jun 2009 05:06:30 +0000</pubDate>
		<dc:creator>Lucas Jellema</dc:creator>
				<category><![CDATA[Database]]></category>
		<category><![CDATA[Devel. + PL/SQL tools]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[analytical functions]]></category>
		<category><![CDATA[sql]]></category>

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		<description><![CDATA[&#160;
Last week, this weblog hit the 9M post reads mark. Since we started technology.amis.nl/blog in July 2004, it took us some 5 years to get to that point. And I started to wonder when we reached earlier milestones, like 100k, 1M and 5M. This took me to some SQL puzzles that before I started in [...]]]></description>
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		<slash:comments>2</slash:comments>
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		<title>Simple Event Processing &#8211; Using SQL with Analytical Functions to detect traffic patterns</title>
		<link>http://technology.amis.nl/blog/3569/simple-event-processing-using-sql-with-analytical-functions-to-detect-traffic-patterns</link>
		<comments>http://technology.amis.nl/blog/3569/simple-event-processing-using-sql-with-analytical-functions-to-detect-traffic-patterns#comments</comments>
		<pubDate>Mon, 06 Oct 2008 08:33:47 +0000</pubDate>
		<dc:creator>Lucas Jellema</dc:creator>
				<category><![CDATA[Devel. + PL/SQL tools]]></category>
		<category><![CDATA[General]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[SOA & Oracle Fusion Middleware]]></category>
		<category><![CDATA[analytical functions]]></category>
		<category><![CDATA[cql]]></category>
		<category><![CDATA[events]]></category>
		<category><![CDATA[lead]]></category>
		<category><![CDATA[sql]]></category>

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		<description><![CDATA[One of the intriguing subjects at last weeks Oracle Open World conference for me was Complex Event Processing. The ability to process streams of real time events, and up to 1000s per second of them, opens up many new avenues of interesting opportunities. Detecting patterns and anomalies, aggregating and comparing &#8211; reporting only the noteworthy [...]]]></description>
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