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	<title>The Pythian Blog &#187; data warehouse</title>
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		<title>Secrets of Oracle&#8217;s Automatic Degree of Parallelism</title>
		<link>http://www.pythian.com/news/27867/secrets-of-oracles-automatic-degree-of-parallelism/</link>
		<comments>http://www.pythian.com/news/27867/secrets-of-oracles-automatic-degree-of-parallelism/#comments</comments>
		<pubDate>Wed, 19 Oct 2011 00:06:18 +0000</pubDate>
		<dc:creator>Gwen Shapira</dc:creator>
				<category><![CDATA[Group Blog Posts]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[Oracle Exadata]]></category>
		<category><![CDATA[Technical Blog]]></category>
		<category><![CDATA[data warehouse]]></category>
		<category><![CDATA[exadata]]></category>
		<category><![CDATA[OOW]]></category>
		<category><![CDATA[parallelism]]></category>

		<guid isPermaLink="false">http://www.pythian.com/news/?p=27867</guid>
		<description><![CDATA[Automatic degree of parallelism, or Auto DOP, is a new feature in 11gR2 that promises to help manage systems where large subset of the workload runs with parallel processing. In this post I&#8217;ll introduce the feature and give very useful tips I got from Oracle&#8217;s Real World Performance expert Greg Rahn on how to use [...]]]></description>
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		<slash:comments>5</slash:comments>
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		<title>OOW11: Exalytics Hits The Stage &#8212; In-Memory Analytics</title>
		<link>http://www.pythian.com/news/27321/oow11-exalytics-hits-the-stage-in-memory-analytics/</link>
		<comments>http://www.pythian.com/news/27321/oow11-exalytics-hits-the-stage-in-memory-analytics/#comments</comments>
		<pubDate>Mon, 03 Oct 2011 01:44:48 +0000</pubDate>
		<dc:creator>Alex Gorbachev</dc:creator>
				<category><![CDATA[Oracle]]></category>
		<category><![CDATA[Technical Blog]]></category>
		<category><![CDATA[data warehouse]]></category>
		<category><![CDATA[Essbase]]></category>
		<category><![CDATA[Exalytics]]></category>
		<category><![CDATA[OBI]]></category>

		<guid isPermaLink="false">http://www.pythian.com/news/?p=27321</guid>
		<description><![CDATA[News from Oracle OpenWorld flor&#8230; What is Exalytics? It&#8217;s a BI appliance machine &#8212; it&#8217;s like an application middle tier for complete Business Intellegence data warehousing solutions. You put it in front of Exadata and users get all the tools to work with that data &#8211; analyze, predict, run reports and etc. Exalytics is a [...]]]></description>
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		<slash:comments>1</slash:comments>
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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>
		<category><![CDATA[dw]]></category>
		<category><![CDATA[hash]]></category>
		<category><![CDATA[kaleidoscope]]></category>
		<category><![CDATA[kscope]]></category>
		<category><![CDATA[linear hash partitioning]]></category>
		<category><![CDATA[odtug]]></category>
		<category><![CDATA[partition]]></category>
		<category><![CDATA[partitioning]]></category>
		<category><![CDATA[Pythian]]></category>
		<category><![CDATA[range]]></category>
		<category><![CDATA[subpartition]]></category>

		<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>
		<category><![CDATA[conferences]]></category>
		<category><![CDATA[data warehouse]]></category>
		<category><![CDATA[data warehousing]]></category>
		<category><![CDATA[disk array]]></category>
		<category><![CDATA[disk speed]]></category>
		<category><![CDATA[dw]]></category>
		<category><![CDATA[HBA]]></category>
		<category><![CDATA[kaleidoscope]]></category>
		<category><![CDATA[kscope]]></category>
		<category><![CDATA[LUN]]></category>
		<category><![CDATA[normalization]]></category>
		<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>
		</item>
		<item>
		<title>Sydney Oracle Meetup #8 &#8212; Exadata Extravaganza</title>
		<link>http://www.pythian.com/news/3395/sydney-oracle-meetup-8-exadata-extravaganza/</link>
		<comments>http://www.pythian.com/news/3395/sydney-oracle-meetup-8-exadata-extravaganza/#comments</comments>
		<pubDate>Wed, 15 Jul 2009 02:44:53 +0000</pubDate>
		<dc:creator>Alex Gorbachev</dc:creator>
				<category><![CDATA[Oracle]]></category>
		<category><![CDATA[Oracle Exadata]]></category>
		<category><![CDATA[Pythian Appearances]]></category>
		<category><![CDATA[Sydney Oracle Meetup]]></category>
		<category><![CDATA[Australia]]></category>
		<category><![CDATA[data warehouse]]></category>
		<category><![CDATA[exadata]]></category>
		<category><![CDATA[HP Oracle Database Machine]]></category>

		<guid isPermaLink="false">http://www.pythian.com/news/?p=3395</guid>
		<description><![CDATA[What: Sydney Oracle Meetup #8 &#8212; Exadata Extravaganza When: Friday, July 17, 2009 5:30 PM (please, make sure to RSVP yes/no/maybe) Where: Sydney CBD Join meetup for the detailed location. The topic for this meetup is quite exciting &#8211; Oracle Exadata and everything about it. David Centellas, Senior Database Consultant from Oracle will do technical [...]]]></description>
		<wfw:commentRss>http://www.pythian.com/news/3395/sydney-oracle-meetup-8-exadata-extravaganza/feed/</wfw:commentRss>
		<slash:comments>0</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>
		<category><![CDATA[presentation]]></category>
		<category><![CDATA[user group]]></category>
		<category><![CDATA[video]]></category>

		<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>
		</item>
		<item>
		<title>Oracle Open World 2008 Diaries: HP Oracle Database Machine</title>
		<link>http://www.pythian.com/news/1257/oracle-open-world-2008-diaries/</link>
		<comments>http://www.pythian.com/news/1257/oracle-open-world-2008-diaries/#comments</comments>
		<pubDate>Thu, 25 Sep 2008 22:32:43 +0000</pubDate>
		<dc:creator>Alex Gorbachev</dc:creator>
				<category><![CDATA[Oracle]]></category>
		<category><![CDATA[conferences]]></category>
		<category><![CDATA[data warehouse]]></category>
		<category><![CDATA[database machine]]></category>
		<category><![CDATA[exadata]]></category>
		<category><![CDATA[keynote]]></category>
		<category><![CDATA[OOW]]></category>
		<category><![CDATA[presentations]]></category>
		<category><![CDATA[storage server]]></category>

		<guid isPermaLink="false">http://www.pythian.com/blogs/1257/oracle-open-world-2008-diaries</guid>
		<description><![CDATA[For those of you who didn&#8217;t see the Larry Ellison&#8217;s keynote here it is courtesy to Sheeri. We cut out the HP part but I don&#8217;t think anyone will complain. It&#8217;s not the best angle but we didn&#8217;t get there early in advance to secure the right location for the camera. Now few bits about [...]]]></description>
		<wfw:commentRss>http://www.pythian.com/news/1257/oracle-open-world-2008-diaries/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>Analysis of the Oracle Exadata Storage Server and Database Machine</title>
		<link>http://www.pythian.com/news/1262/analysis-of-the-oracle-exadata-storage-server-and-database-machine/</link>
		<comments>http://www.pythian.com/news/1262/analysis-of-the-oracle-exadata-storage-server-and-database-machine/#comments</comments>
		<pubDate>Thu, 25 Sep 2008 16:04:55 +0000</pubDate>
		<dc:creator>Christo Kutrovsky</dc:creator>
				<category><![CDATA[Oracle]]></category>
		<category><![CDATA[data warehouse]]></category>
		<category><![CDATA[database machine]]></category>
		<category><![CDATA[exadata]]></category>
		<category><![CDATA[storage server]]></category>

		<guid isPermaLink="false">http://www.pythian.com/blogs/1262/analysis-of-the-oracle-exadata-storage-server-and-database-machine</guid>
		<description><![CDATA[Pythian has a full-featured Oracle Exadata Practice complete with successful implementations and reference customers. *Updated* see comments. Exadata &#8212; the smart storage server. I am definitely excited about this product, but my point of view is a bit different. It&#8217;s fast, and much faster than anything out there right now. But how many shops will [...]]]></description>
		<wfw:commentRss>http://www.pythian.com/news/1262/analysis-of-the-oracle-exadata-storage-server-and-database-machine/feed/</wfw:commentRss>
		<slash:comments>19</slash:comments>
		</item>
		<item>
		<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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		<slash:comments>9</slash:comments>
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