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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>
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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>
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		<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>Log Buffer #182, a Carnival of the Vanities for DBAs</title>
		<link>http://www.pythian.com/news/9417/log-buffer-182-a-carnival-of-the-vanities-for-dbas/</link>
		<comments>http://www.pythian.com/news/9417/log-buffer-182-a-carnival-of-the-vanities-for-dbas/#comments</comments>
		<pubDate>Fri, 12 Mar 2010 17:01:59 +0000</pubDate>
		<dc:creator>Sheeri Cabral</dc:creator>
				<category><![CDATA[Log Buffer]]></category>
		<category><![CDATA[MySQL]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[SQL Server]]></category>
		<category><![CDATA[Technical Blog]]></category>
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		<category><![CDATA[batch]]></category>
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		<category><![CDATA[date]]></category>
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		<guid isPermaLink="false">http://www.pythian.com/news/?p=9417</guid>
		<description><![CDATA[This is the 182nd edition of Log Buffer, the weekly review of database blogs. Make sure to read the whole edition so you do not miss where to submit your SQL limerick! This week started out with me posting about International Women&#8217;s Day, and has me personally attending Confoo (Montreal) which is an excellent conference [...]]]></description>
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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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		<category><![CDATA[user group]]></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>Implementing Many-to-many Relationships in Data Warehousing</title>
		<link>http://www.pythian.com/news/364/implementing-many-to-many-relationships-in-data-warehousing/</link>
		<comments>http://www.pythian.com/news/364/implementing-many-to-many-relationships-in-data-warehousing/#comments</comments>
		<pubDate>Fri, 19 Jan 2007 20:24:23 +0000</pubDate>
		<dc:creator>Robert Hamel</dc:creator>
				<category><![CDATA[Oracle]]></category>
		<category><![CDATA[bridge table]]></category>
		<category><![CDATA[data warehouse]]></category>
		<category><![CDATA[dimension tables]]></category>
		<category><![CDATA[dw]]></category>
		<category><![CDATA[fact tables]]></category>
		<category><![CDATA[many-to-many]]></category>
		<category><![CDATA[oltp]]></category>

		<guid isPermaLink="false">http://www.pythian.com/blogs/364/implementing-many-to-many-relationships-in-data-warehousing</guid>
		<description><![CDATA[This article will discuss how to make many-to-many relationships in data warehousing easily queried by novice SQL users using point-and-click query tools. This is a big problem with Oracle Discoverer-like tools where the metadata layer is basically a set of pre-joined tables from which the user simply clicks on columns and hits the run button. [...]]]></description>
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