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	<title>BI DW &#187; Concepts</title>
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	<link>http://www.bidw.org</link>
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		<title>Data Warehousing Concepts and Data Warehouse Project Lifecycle</title>
		<link>http://www.bidw.org/datawarehousing/data-warehousing-concepts-and-data-warehouse-project-lifecycle/</link>
		<comments>http://www.bidw.org/datawarehousing/data-warehousing-concepts-and-data-warehouse-project-lifecycle/#comments</comments>
		<pubDate>Tue, 15 Jun 2010 06:49:49 +0000</pubDate>
		<dc:creator>BIDW Team</dc:creator>
				<category><![CDATA[Concepts]]></category>
		<category><![CDATA[Data Warehousing]]></category>
		<category><![CDATA[Design]]></category>
		<category><![CDATA[Data Warehousing Concepts]]></category>

		<guid isPermaLink="false">http://www.bidw.org/?p=294</guid>
		<description><![CDATA[Data Warehousing Concepts What is Data Warehouse OLTP vs OLAP : Difference What is dimensional modeling What is star schema What is snowflake schema What is slowly changing dimension SCD Type 1 SCD Type 2 SCD Type 3 What is surrogate key What is Metadata Whats is ODS Data Warehouse Conceptual Data Model Data Warehouse [...]


Related posts:<ol><li><a href='http://www.bidw.org/datawarehousing/design/data-warehouse-project-life-cycle/' rel='bookmark' title='Permanent Link: Data Warehouse Project Life Cycle'>Data Warehouse Project Life Cycle</a></li>
<li><a href='http://www.bidw.org/datawarehousing/design/design-and-development/' rel='bookmark' title='Permanent Link: Design and Development'>Design and Development</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/conceptual-data-model/' rel='bookmark' title='Permanent Link: Conceptual Data Model'>Conceptual Data Model</a></li>
</ol>]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Semantic Data Model</title>
		<link>http://www.bidw.org/datawarehousing/concepts/semantic-data-model/</link>
		<comments>http://www.bidw.org/datawarehousing/concepts/semantic-data-model/#comments</comments>
		<pubDate>Thu, 29 Apr 2010 14:46:10 +0000</pubDate>
		<dc:creator>BIDW Team</dc:creator>
				<category><![CDATA[Concepts]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<category><![CDATA[Data Warehousing Concept]]></category>
		<category><![CDATA[Semantic Data Model]]></category>

		<guid isPermaLink="false">http://www.datawarehouse.in/?p=107</guid>
		<description><![CDATA[Semantic Data Model or layer. Semantic Data Model differ application to application used for reporting. Most the Business Intelligence tools have their own standards to design a semantic layer which will be used for reporting purpose. Semantic Data Model represents the physical data model in business terminologies, so that it can be used by business [...]


Related posts:<ol><li><a href='http://www.bidw.org/business-objects/universe-design/what-is-sap-business-objects-universe/' rel='bookmark' title='Permanent Link: What is SAP Business Objects Universe'>What is SAP Business Objects Universe</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/physical-data-model/' rel='bookmark' title='Permanent Link: Physical Data Model'>Physical Data Model</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/dimensional-data-model/' rel='bookmark' title='Permanent Link: Dimensional Data Model'>Dimensional Data Model</a></li>
</ol>]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Physical Data Model</title>
		<link>http://www.bidw.org/datawarehousing/concepts/physical-data-model/</link>
		<comments>http://www.bidw.org/datawarehousing/concepts/physical-data-model/#comments</comments>
		<pubDate>Thu, 29 Apr 2010 14:44:23 +0000</pubDate>
		<dc:creator>BIDW Team</dc:creator>
				<category><![CDATA[Concepts]]></category>
		<category><![CDATA[Data Warehousing Concepts]]></category>
		<category><![CDATA[Physical Data Model]]></category>

		<guid isPermaLink="false">http://www.datawarehouse.in/?p=105</guid>
		<description><![CDATA[Physical Data Model is the actual model which will be created in the database to store the data. It is the most detailed data model in Data Warehouse data modeling. It includes Tables names All column names of the table along with data type and size Primary keys, Foreign Keys of a table Constraints e.g. [...]


Related posts:<ol><li><a href='http://www.bidw.org/datawarehousing/concepts/conceptual-data-model/' rel='bookmark' title='Permanent Link: Conceptual Data Model'>Conceptual Data Model</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/logical-data-model/' rel='bookmark' title='Permanent Link: Logical Data Model'>Logical Data Model</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/semantic-data-model/' rel='bookmark' title='Permanent Link: Semantic Data Model'>Semantic Data Model</a></li>
</ol>]]></description>
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		</item>
		<item>
		<title>Logical Data Model</title>
		<link>http://www.bidw.org/datawarehousing/concepts/logical-data-model/</link>
		<comments>http://www.bidw.org/datawarehousing/concepts/logical-data-model/#comments</comments>
		<pubDate>Thu, 29 Apr 2010 14:41:41 +0000</pubDate>
		<dc:creator>BIDW Team</dc:creator>
				<category><![CDATA[Concepts]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<category><![CDATA[Data Warehousing Concepts]]></category>
		<category><![CDATA[Logical Data Model]]></category>

		<guid isPermaLink="false">http://www.datawarehouse.in/?p=102</guid>
		<description><![CDATA[Logical Data Model Good Logical data model in data warehouse implementation is very important. Logical data model has to be detailed (though some might not agree) as it represents the entire business in one shot and shows relationship between business entities. Logical Model should have following things to make it detailed and self explanatory. All [...]


Related posts:<ol><li><a href='http://www.bidw.org/datawarehousing/concepts/conceptual-data-model/' rel='bookmark' title='Permanent Link: Conceptual Data Model'>Conceptual Data Model</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/physical-data-model/' rel='bookmark' title='Permanent Link: Physical Data Model'>Physical Data Model</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/dimensional-data-model/' rel='bookmark' title='Permanent Link: Dimensional Data Model'>Dimensional Data Model</a></li>
</ol>]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Conceptual Data Model</title>
		<link>http://www.bidw.org/datawarehousing/concepts/conceptual-data-model/</link>
		<comments>http://www.bidw.org/datawarehousing/concepts/conceptual-data-model/#comments</comments>
		<pubDate>Thu, 29 Apr 2010 14:37:12 +0000</pubDate>
		<dc:creator>BIDW Team</dc:creator>
				<category><![CDATA[Concepts]]></category>
		<category><![CDATA[Conceptual Data Model]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<category><![CDATA[Data Warehousing]]></category>

		<guid isPermaLink="false">http://www.datawarehouse.in/?p=98</guid>
		<description><![CDATA[Conceptual Data Model is the first step in Data Warehouse design. In conceptual data model, very high level relationships between dimension and fact table is depicted. Conceptual data model not necessarily includes keys, attributes of tables. Conceptual data model gives a very high level idea of proposed Data Warehouse design including possible fact and dimension [...]


Related posts:<ol><li><a href='http://www.bidw.org/datawarehousing/concepts/logical-data-model/' rel='bookmark' title='Permanent Link: Logical Data Model'>Logical Data Model</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/dimensional-data-model/' rel='bookmark' title='Permanent Link: Dimensional Data Model'>Dimensional Data Model</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/physical-data-model/' rel='bookmark' title='Permanent Link: Physical Data Model'>Physical Data Model</a></li>
</ol>]]></description>
		<wfw:commentRss>http://www.bidw.org/datawarehousing/concepts/conceptual-data-model/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>What is Operational Data Store (ODS)</title>
		<link>http://www.bidw.org/datawarehousing/concepts/what-is-operational-data-store-ods/</link>
		<comments>http://www.bidw.org/datawarehousing/concepts/what-is-operational-data-store-ods/#comments</comments>
		<pubDate>Tue, 27 Apr 2010 19:39:59 +0000</pubDate>
		<dc:creator>BIDW Team</dc:creator>
				<category><![CDATA[Concepts]]></category>
		<category><![CDATA[Data Warehousing Concepts]]></category>
		<category><![CDATA[ODS]]></category>
		<category><![CDATA[Operational Data Store]]></category>

		<guid isPermaLink="false">http://www.datawarehouse.in/?p=96</guid>
		<description><![CDATA[ODS or Operational Data Store are data store required when neither Data warehouse or OLTP systems supports organizations reporting need. ODS is neither Data Warehouse nor OLTP reporting systems, rather it can be viewed as data store that is between Data Warehouse and OLTP Database. Generally ODS are set up when Data Warehouse can not [...]


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<li><a href='http://www.bidw.org/datawarehousing/data-warehousing-concepts-and-data-warehouse-project-lifecycle/' rel='bookmark' title='Permanent Link: Data Warehousing Concepts and Data Warehouse Project Lifecycle'>Data Warehousing Concepts and Data Warehouse Project Lifecycle</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/logical-data-model/' rel='bookmark' title='Permanent Link: Logical Data Model'>Logical Data Model</a></li>
</ol>]]></description>
		<wfw:commentRss>http://www.bidw.org/datawarehousing/concepts/what-is-operational-data-store-ods/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>What is Metadata?</title>
		<link>http://www.bidw.org/datawarehousing/concepts/what-is-metadata/</link>
		<comments>http://www.bidw.org/datawarehousing/concepts/what-is-metadata/#comments</comments>
		<pubDate>Tue, 27 Apr 2010 04:05:27 +0000</pubDate>
		<dc:creator>BIDW Team</dc:creator>
				<category><![CDATA[Concepts]]></category>
		<category><![CDATA[Data Warehousing Concepts]]></category>
		<category><![CDATA[Metadata]]></category>

		<guid isPermaLink="false">http://www.datawarehouse.in/?p=79</guid>
		<description><![CDATA[Metadata is the information or data in Data Warehouse that is not exactly the data itself but its data about the data. In a broader way you can view Metadata as an encyclopedia of the data warehouse. Metadata in Data Warehouse contains information about the various Database Objects used in Data Warehouse, Systems Tables, Catalog [...]


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<li><a href='http://www.bidw.org/datawarehousing/data-warehousing-concepts-and-data-warehouse-project-lifecycle/' rel='bookmark' title='Permanent Link: Data Warehousing Concepts and Data Warehouse Project Lifecycle'>Data Warehousing Concepts and Data Warehouse Project Lifecycle</a></li>
<li><a href='http://www.bidw.org/datawarehousing/design/data-warehouse-project-life-cycle/' rel='bookmark' title='Permanent Link: Data Warehouse Project Life Cycle'>Data Warehouse Project Life Cycle</a></li>
</ol>]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Surrogate Key</title>
		<link>http://www.bidw.org/datawarehousing/concepts/surrogate-key/</link>
		<comments>http://www.bidw.org/datawarehousing/concepts/surrogate-key/#comments</comments>
		<pubDate>Sat, 24 Apr 2010 15:53:55 +0000</pubDate>
		<dc:creator>BIDW Team</dc:creator>
				<category><![CDATA[Concepts]]></category>
		<category><![CDATA[Data Warehousing Concepts]]></category>
		<category><![CDATA[Surrogate Key]]></category>

		<guid isPermaLink="false">http://www.datawarehouse.in/?p=72</guid>
		<description><![CDATA[Let us consider an scenarios where you have designed a very good Data Warehouse , its catering all your reporting need and its in production. After two years organization decides to reuse there business keys of products e.g. there was product called Baby Powder after two years organization decides to stop selling at its cost [...]


Related posts:<ol><li><a href='http://www.bidw.org/datawarehousing/concepts/logical-data-model/' rel='bookmark' title='Permanent Link: Logical Data Model'>Logical Data Model</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/physical-data-model/' rel='bookmark' title='Permanent Link: Physical Data Model'>Physical Data Model</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/conceptual-data-model/' rel='bookmark' title='Permanent Link: Conceptual Data Model'>Conceptual Data Model</a></li>
</ol>]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>SCD Type 3</title>
		<link>http://www.bidw.org/datawarehousing/concepts/scd-type-3/</link>
		<comments>http://www.bidw.org/datawarehousing/concepts/scd-type-3/#comments</comments>
		<pubDate>Sat, 24 Apr 2010 14:47:09 +0000</pubDate>
		<dc:creator>BIDW Team</dc:creator>
				<category><![CDATA[Concepts]]></category>
		<category><![CDATA[Data Warehousing Concepts]]></category>
		<category><![CDATA[SCD Type 3]]></category>
		<category><![CDATA[Slowly Changing Dimension Type 3]]></category>

		<guid isPermaLink="false">http://www.datawarehouse.in/?p=67</guid>
		<description><![CDATA[Slowly Changing Dimension Type 3 ( SCD Type 3) tracks the history my adding separate columns for each version of record. As opposed to Slowly Changing Dimension Type 2 ( SCD Type 2) where we can maintain any number of history of record SCD Type 3 allows limited history of record as adding a separate [...]


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<li><a href='http://www.bidw.org/datawarehousing/concepts/scd-type-2/' rel='bookmark' title='Permanent Link: SCD Type 2'>SCD Type 2</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/slowly-changing-dimension/' rel='bookmark' title='Permanent Link: Slowly Changing Dimension'>Slowly Changing Dimension</a></li>
</ol>]]></description>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>SCD Type 2</title>
		<link>http://www.bidw.org/datawarehousing/concepts/scd-type-2/</link>
		<comments>http://www.bidw.org/datawarehousing/concepts/scd-type-2/#comments</comments>
		<pubDate>Sat, 24 Apr 2010 14:31:39 +0000</pubDate>
		<dc:creator>BIDW Team</dc:creator>
				<category><![CDATA[Concepts]]></category>
		<category><![CDATA[Data Warehousing Concepts]]></category>
		<category><![CDATA[SCD Type 2]]></category>
		<category><![CDATA[Slowly Changing Dimension Type 2]]></category>

		<guid isPermaLink="false">http://www.datawarehouse.in/?p=61</guid>
		<description><![CDATA[Slowly Changing Dimension Type 2 is used for tracking historical data by maintaining a version of records. CD type 2 tracks the data history by creating multiple versions of records and using either date or flag to identify the active record. This method allows tracking any number of histories as each time new record is [...]


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<li><a href='http://www.bidw.org/datawarehousing/concepts/scd-type-1/' rel='bookmark' title='Permanent Link: SCD Type 1'>SCD Type 1</a></li>
<li><a href='http://www.bidw.org/datawarehousing/concepts/surrogate-key/' rel='bookmark' title='Permanent Link: Surrogate Key'>Surrogate Key</a></li>
</ol>]]></description>
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