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	  <title>Ask MetaFilter posts tagged with datawarehouse</title>
      <link>http://ask.metafilter.com/tags/datawarehouse</link>
      <description>tag posts with datawarehouse</description>
	  	  <pubDate>Wed, 26 Dec 2007 12:02:49 -0800</pubDate>
      <lastBuildDate>Wed, 26 Dec 2007 12:02:49 -0800</lastBuildDate>

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	<item>
	<title>help a layman understand multi-dimensional data modelling</title>
	<link>http://ask.metafilter.com/79482/help-a-layman-understand-multidimensional-data-modelling</link>	
	<description>I&apos;d like to know how multi-dimensional data modelling works. My company has Cognos BI and I am working closely with the developers. I would like to understand how a star schema works, fact and dimension tables, etc. I&apos;d like to be able to more clearly envision whats going on with the data. How is it different from relational databases? Can you recommend a book or some online articles written for the layman? &lt;br&gt;
&lt;br&gt;
I don&apos;t necessarily need to understand how *to* model the data, just how to understand data retrieval *from* a model.</description>
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	<pubDate>Wed, 26 Dec 2007 12:02:49 -0800</pubDate>

<category>database</category>

<category>datamodelling</category>

<category>cognos</category>

<category>datawarehouse</category>

<category>datamart</category>

<category>datamining</category>

<category>starschema</category>

	<dc:creator>goethean</dc:creator>
	</item>
	<item>
	<title>Datawarehouse 101</title>
	<link>http://ask.metafilter.com/70264/Datawarehouse-101</link>	
	<description>I am changing jobs in a couple of months, and need to know more about database design, and more specifically datawarehouse and datamart for reporting systems. I will be working on the ETL and reporting side, but would like to sound more knowledgeable about general database design techniques, such as normalisation, star schemas and so on, with particular emphasis on datawarehousing. The last time i looked at this Ralph Kimball was the datawarehouse reference point. Would it still be worth reading his Lifecycle Toolkit? Or is there somebody new out there that is a must-read? Online or hard-copy recommendations would be most welcome.</description>
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	<pubDate>Tue, 28 Aug 2007 02:22:50 -0800</pubDate>

<category>datawarehouse</category>

<category>database</category>

<category>datamart</category>

<category>design</category>

	<dc:creator>jontyjago</dc:creator>
	</item>
	<item>
	<title>Datamining the public web</title>
	<link>http://ask.metafilter.com/68120/Datamining-the-public-web</link>	
	<description>How do i build a data warehouse that scrapes data from public websites for my own use? Tools? Tips? Hi. I would like to track apartments on a classifieds site and use the data for analyzing the inpact of diffrent things on price. What i need is a tool or scripting language that would make it easy for me to spider the website and put the data in a database. Preferable this would be an open source solution. &lt;br&gt;
&lt;br&gt;
I am also looking for good tools for extracting information out of longer pieces of text. For example on the site i want to mine users can put in comments on every object. I would like to be able to decide if a comment is positive, negative och neither. I have seen this be done on one online art site that i cant remember the name of right now. The artist used blog post and decided the mood of the writer by what words were used.</description>
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	<pubDate>Mon, 30 Jul 2007 01:52:51 -0800</pubDate>

<category>datamining</category>

<category>datawarehouse</category>

<category>spidering</category>

<category>scraping</category>

	<dc:creator>ilike</dc:creator>
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