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	<title>The Pythian Blog &#187; data warehousing</title>
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		<title>Pythian adds 3 new Oracle PartnerNetwork Specializations, totalling 7</title>
		<link>http://www.pythian.com/news/26709/pythian-adds-3-new-oracle-partnernetwork-specializations-totalling-7/</link>
		<comments>http://www.pythian.com/news/26709/pythian-adds-3-new-oracle-partnernetwork-specializations-totalling-7/#comments</comments>
		<pubDate>Tue, 20 Sep 2011 15:57:24 +0000</pubDate>
		<dc:creator>Vanessa Simmons</dc:creator>
				<category><![CDATA[Business Blog]]></category>
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		<description><![CDATA[PYTHIAN NEWS Pythian is happy to announce today the achievement of three new Oracle PartnerNetwork Specializations bringing the total to seven under our Platinum level membership of the Oracle PartnerNetwork (OPN) program. Now added to the list are Oracle Exadata, Oracle Data Warehousing, and Oracle GoldenGate. Complementing the added specializations is Pythian’s launch of new [...]]]></description>
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		<slash:comments>5</slash:comments>
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		<title>Webinar tomorrow:  Join Alex Gorbachev for &#8220;Is Oracle Exadata For You?&#8221;</title>
		<link>http://www.pythian.com/news/24099/webinar-tomorrow-join-alex-gorbachev-for-is-oracle-exadata-for-you/</link>
		<comments>http://www.pythian.com/news/24099/webinar-tomorrow-join-alex-gorbachev-for-is-oracle-exadata-for-you/#comments</comments>
		<pubDate>Tue, 21 Jun 2011 21:50:53 +0000</pubDate>
		<dc:creator>Vanessa Simmons</dc:creator>
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		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[Oracle Exadata]]></category>
		<category><![CDATA[Pythian]]></category>
		<category><![CDATA[Technical Blog]]></category>
		<category><![CDATA[Alex Gorbachev]]></category>
		<category><![CDATA[consolidation]]></category>
		<category><![CDATA[data warehousing]]></category>
		<category><![CDATA[exadata]]></category>
		<category><![CDATA[New York]]></category>
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		<guid isPermaLink="false">http://www.pythian.com/news/?p=24099</guid>
		<description><![CDATA[Are you considering Oracle Exadata as a data warehousing or consolidation solution for your organization? Before you go any further, be sure to join Alex Gorbachev, Oracle ACE Director &#038; Pythian CTO at noon tomorrow (EST) as he outlines where Oracle Exadata is the best fit. Register Now &#038; More Webinar Details Read about LinkShare&#8217;s [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<title>YAPCEU 2010 &#8211; Day Two&#8230;</title>
		<link>http://www.pythian.com/news/15377/yapceu-2010-day-two/</link>
		<comments>http://www.pythian.com/news/15377/yapceu-2010-day-two/#comments</comments>
		<pubDate>Fri, 06 Aug 2010 18:01:18 +0000</pubDate>
		<dc:creator>John Scoles</dc:creator>
				<category><![CDATA[DBD::Oracle]]></category>
		<category><![CDATA[Group Blog Posts]]></category>
		<category><![CDATA[Not on Homepage]]></category>
		<category><![CDATA[Perl]]></category>
		<category><![CDATA[Pythian Appearances]]></category>
		<category><![CDATA[Technical Blog]]></category>
		<category><![CDATA[data warehousing]]></category>
		<category><![CDATA[migration]]></category>
		<category><![CDATA[MySQL]]></category>
		<category><![CDATA[YAPCEU]]></category>

		<guid isPermaLink="false">http://www.pythian.com/news/?p=15377</guid>
		<description><![CDATA[After enjoying the excellent hospitality of our host here in Pisa (6 courses) we were ready for our second day at YAPCEU 2010 here in sunny Pisa. Larry&#8217;s new catch phrase &#8220;My Language is a four letter word&#8221; was the &#8216;Buzz word&#8217; for today. We settled down to some very interesting talks, the highlight for [...]]]></description>
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		<title>Data Warehousing Best Practices:  Comparing Oracle to MySQL, part 2 (partitioning)</title>
		<link>http://www.pythian.com/news/15167/data-warehousing-best-practices-comparing-oracle-to-mysql-part-2-partitioning/</link>
		<comments>http://www.pythian.com/news/15167/data-warehousing-best-practices-comparing-oracle-to-mysql-part-2-partitioning/#comments</comments>
		<pubDate>Thu, 29 Jul 2010 21:00:54 +0000</pubDate>
		<dc:creator>Sheeri Cabral</dc:creator>
				<category><![CDATA[MySQL]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[Technical Blog]]></category>
		<category><![CDATA[conferences]]></category>
		<category><![CDATA[data warehouse]]></category>
		<category><![CDATA[data warehousing]]></category>
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		<category><![CDATA[partitioning]]></category>
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		<guid isPermaLink="false">http://www.pythian.com/news/?p=15167</guid>
		<description><![CDATA[At Kscope this year, I attended a half day in-depth session entitled Data Warehousing Performance Best Practices, given by Maria Colgan of Oracle. My impression, which was confirmed by folks in the Oracle world, is that she knows her way around the Oracle optimizer. See part 1 for the introduction and talking about power and [...]]]></description>
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		<slash:comments>1</slash:comments>
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		<title>Data Warehousing Best Practices:  Comparing Oracle to MySQL, part 1 (introduction and power)</title>
		<link>http://www.pythian.com/news/15157/data-warehousing-best-practices-comparing-oracle-to-mysql-part-1-introduction-and-power/</link>
		<comments>http://www.pythian.com/news/15157/data-warehousing-best-practices-comparing-oracle-to-mysql-part-1-introduction-and-power/#comments</comments>
		<pubDate>Thu, 29 Jul 2010 20:53:33 +0000</pubDate>
		<dc:creator>Sheeri Cabral</dc:creator>
				<category><![CDATA[MySQL]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[Technical Blog]]></category>
		<category><![CDATA[3nf]]></category>
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		<category><![CDATA[dw]]></category>
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		<category><![CDATA[normalize]]></category>
		<category><![CDATA[odtug]]></category>
		<category><![CDATA[orion]]></category>
		<category><![CDATA[parallelism]]></category>
		<category><![CDATA[Pythian]]></category>
		<category><![CDATA[SAN]]></category>
		<category><![CDATA[schema]]></category>
		<category><![CDATA[snowflake schema]]></category>
		<category><![CDATA[star schema]]></category>
		<category><![CDATA[throughput]]></category>

		<guid isPermaLink="false">http://www.pythian.com/news/?p=15157</guid>
		<description><![CDATA[At Kscope this year, I attended a half day in-depth session entitled Data Warehousing Performance Best Practices, given by Maria Colgan of Oracle. My impression, which was confirmed by folks in the Oracle world, is that she knows her way around the Oracle optimizer. These are my notes from the session, which include comparisons of [...]]]></description>
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		<slash:comments>4</slash:comments>
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		<title>A grand tour of Oracle Exadata, Part 1</title>
		<link>http://www.pythian.com/news/13569/exadata-part-1/</link>
		<comments>http://www.pythian.com/news/13569/exadata-part-1/#comments</comments>
		<pubDate>Tue, 06 Jul 2010 21:19:21 +0000</pubDate>
		<dc:creator>Marc Fielding</dc:creator>
				<category><![CDATA[Group Blog Posts]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[Oracle Exadata]]></category>
		<category><![CDATA[Technical Blog]]></category>
		<category><![CDATA[ASM]]></category>
		<category><![CDATA[data warehousing]]></category>
		<category><![CDATA[database machine]]></category>
		<category><![CDATA[exadata]]></category>
		<category><![CDATA[hardware]]></category>
		<category><![CDATA[InfiniBand]]></category>
		<category><![CDATA[Linux]]></category>
		<category><![CDATA[Pythian]]></category>
		<category><![CDATA[storage server]]></category>
		<category><![CDATA[Sun]]></category>

		<guid isPermaLink="false">http://www.pythian.com/news/?p=13569</guid>
		<description><![CDATA[Pythian has full-featured Oracle Exadata Services complete with successful implementations and reference customers. When Oracle first introduced Exadata at OpenWorld 2008, it was aimed squarely at the data warehouse market dominated by Teradata, Netezza, and other pure-play vendors. Version 2, introduced a year later, has expanded the scope to include general-purpose mixed and even pure [...]]]></description>
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		<slash:comments>9</slash:comments>
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		<title>Real Time Data Warehousing Presentation and Video</title>
		<link>http://www.pythian.com/news/1710/real-time-data-warehousing-presentation-and-video/</link>
		<comments>http://www.pythian.com/news/1710/real-time-data-warehousing-presentation-and-video/#comments</comments>
		<pubDate>Thu, 26 Mar 2009 11:10:18 +0000</pubDate>
		<dc:creator>Sheeri Cabral</dc:creator>
				<category><![CDATA[MySQL]]></category>
		<category><![CDATA[benchmark]]></category>
		<category><![CDATA[data warehouse]]></category>
		<category><![CDATA[data warehousing]]></category>
		<category><![CDATA[dw]]></category>
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		<guid isPermaLink="false">http://www.pythian.com/news/?p=1710</guid>
		<description><![CDATA[At the March Boston MySQL User Group meeting, Jacob Nikom of MIT&#8217;s Lincoln Laboratory presented &#8220;Optimizing Concurrent Storage and Retrieval Operations for Real-Time Surveillance Applications.&#8221; In the middle of the talk, Jacob said he sometimes calls what he did in this application as &#8220;real-time data warehousing&#8221;, which was so accurate I decided to give that [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<title>Date Dimension vs. Function-Based Indexes: Is the Date Dimension Still Relevant?</title>
		<link>http://www.pythian.com/news/1032/date-dimension-vs-function-based-indexes-is-the-date-dimension-still-relevant/</link>
		<comments>http://www.pythian.com/news/1032/date-dimension-vs-function-based-indexes-is-the-date-dimension-still-relevant/#comments</comments>
		<pubDate>Tue, 03 Jun 2008 16:56:14 +0000</pubDate>
		<dc:creator>Robert Hamel</dc:creator>
				<category><![CDATA[Oracle]]></category>
		<category><![CDATA[data warehousing]]></category>
		<category><![CDATA[date dimension]]></category>

		<guid isPermaLink="false">http://www.pythian.com/blogs/1032/date-dimension-vs-function-based-indexes-is-the-date-dimension-still-relevant</guid>
		<description><![CDATA[The purpose of this post is to verify if a date dimension is better in regards to performance and functionality than a series of function-based indexes on a date column in the fact table. The following is the date dimension and fact table used for the testing: Date Dimension create table date_dimension( date_id number, --1..x [...]]]></description>
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		<slash:comments>2</slash:comments>
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