<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:default="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:admin="http://webns.net/mvcb/" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:content="http://purl.org/rss/1.0/modules/content/"><default:channel xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:admin="http://webns.net/mvcb/" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" rdf:about="http://harmeetdwh.blog.co.uk/"><title>Datawarehouse -- Business Objects</title><link>http://harmeetdwh.blog.co.uk/</link><description></description><dc:language xmlns:dc="http://purl.org/dc/elements/1.1/">en-EU</dc:language><admin:generatorAgent xmlns:admin="http://webns.net/mvcb/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" rdf:resource="http://www.blog.co.uk"/><sy:updatePeriod xmlns:sy="http://purl.org/rss/1.0/modules/syndication/">hourly</sy:updatePeriod><sy:updateFrequency xmlns:sy="http://purl.org/rss/1.0/modules/syndication/">8</sy:updateFrequency><sy:updateBase xmlns:sy="http://purl.org/rss/1.0/modules/syndication/">2000-01-01T12:00+00:00</sy:updateBase><image><title>Datawarehouse -- Business Objects</title><link>http://harmeetdwh.blog.co.uk/</link><url>http://data5.blog.de/design/preview/f7/6bdeee67fd903a2180dee899f4c2ee_160x200.jpg</url></image><items><rdf:Seq><rdf:li rdf:resource="http://harmeetdwh.blog.co.uk/2008/08/19/datawarehouse-4608617/"/></rdf:Seq></items></default:channel><default:item xmlns:default="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" rdf:about="http://harmeetdwh.blog.co.uk/2008/08/19/datawarehouse-4608617/"><default:title>Datawarehouse</default:title><default:link>http://harmeetdwh.blog.co.uk/2008/08/19/datawarehouse-4608617/</default:link><dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">2008-08-19T13:29:19+02:00</dc:date><default:description>	&lt;p&gt;&lt;strong&gt;&lt;u&gt;What is Datawarehouse?&lt;/u&gt;&lt;/strong&gt;&lt;/p&gt;
	&lt;p&gt;According to W.H.Inmon...A Datawarehouse is nothing but a&lt;br&gt;
&lt;strong&gt;Subject-Oriented&lt;br&gt;
Time-Variant&lt;br&gt;
Non-Volatile&lt;br&gt;
Integreted&lt;/strong&gt;&lt;br&gt;
storage of data.&lt;/p&gt;
	&lt;p&gt;&lt;strong&gt;Subject-Oriented:&lt;/strong&gt; Subject-Oriented means it describes about a particular subject like Customer, Sales and Product.&lt;/p&gt;
	&lt;p&gt;&lt;strong&gt;Time-Variant:&lt;/strong&gt; It means according to time data in datawarehouse changes beacause from time to time data will be loaded into the datawarehouse.&lt;/p&gt;
	&lt;p&gt;&lt;strong&gt;Non-Volatile:&lt;/strong&gt; Once data is loaded into the datawarehouse it must not be deleted.&lt;/p&gt;
	&lt;p&gt;&lt;strong&gt;Integrated:&lt;/strong&gt; i.e. data from different sources will be loaded and placed into one place(datawarehouse).&lt;/p&gt;
	&lt;p&gt;According to Ralph Kimbal, a datawarehouse is a copy of transactional data used for analysis purpose.&lt;/p&gt;
	&lt;p&gt;&lt;strong&gt;&lt;u&gt;Schemas:&lt;/u&gt;&lt;/strong&gt; There are different types of schemas are there for designing datawarehouse. They are&lt;br&gt;
&lt;strong&gt;STAR SCHEMA&lt;br&gt;
SNOW-FLAKE SCHEMA&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt; &lt;small&gt; &lt;a href="http://harmeetdwh.blog.co.uk/2008/08/19/datawarehouse-4608617/#comments"&gt;Comments&lt;/a&gt; &lt;/small&gt; &lt;/p&gt;</default:description><content:encoded xmlns:content="http://purl.org/rss/1.0/modules/content/"><![CDATA[	<p><strong><u>What is Datawarehouse?</u></strong></p>
	<p>According to W.H.Inmon...A Datawarehouse is nothing but a<br>
<strong>Subject-Oriented<br>
Time-Variant<br>
Non-Volatile<br>
Integreted</strong><br>
storage of data.</p>
	<p><strong>Subject-Oriented:</strong> Subject-Oriented means it describes about a particular subject like Customer, Sales and Product.</p>
	<p><strong>Time-Variant:</strong> It means according to time data in datawarehouse changes beacause from time to time data will be loaded into the datawarehouse.</p>
	<p><strong>Non-Volatile:</strong> Once data is loaded into the datawarehouse it must not be deleted.</p>
	<p><strong>Integrated:</strong> i.e. data from different sources will be loaded and placed into one place(datawarehouse).</p>
	<p>According to Ralph Kimbal, a datawarehouse is a copy of transactional data used for analysis purpose.</p>
	<p><strong><u>Schemas:</u></strong> There are different types of schemas are there for designing datawarehouse. They are<br>
<strong>STAR SCHEMA<br>
SNOW-FLAKE SCHEMA</strong></p>
<p> <small> <a href="http://harmeetdwh.blog.co.uk/2008/08/19/datawarehouse-4608617/#comments">Comments</a> </small> </p>]]></content:encoded></default:item></rdf:RDF>
