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  • Casual Articles - Components of a Data Warehouse Architecture - Part 4, Kimball vs Inmon

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    , based on the dimensional model and on-line analytical processing (OLAP) tools
  • The use of an iterative development approach, which is h
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    In parts 2 & 3 of this article series, we described the data warehouse architecture according to the Kimball and the Inmon approach. In the present article we shall describe the main differences between the two approaches and their common points. The two approaches have the following common points:
    • The proposed use of a staging area, when the volume of data and the extraction-transformation-loading (ETL) complexity is high
    • The implementation of automated ETL processes
    • The use of multidimensional structures and analysis at the data mart level, based on the dimensional model and on-line analytical processing (OLAP) tools
    • The use of an iterative development approach, which is ho
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      ent article we shall describe the main differences between the two approaches and their common points. The two approaches have the following common points:
      • The proposed use of a staging area, when the volume of data and the extraction-transformation-loading (ETL) complexity is high
      • The implementation of automated ETL processes
      • The use of multidimensional structures and analysis at the data mart level, based on the dimensional model and on-line analytical processing (OLAP) tools
      • The use of an iterative development approach, which is h
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        common points:
        • The proposed use of a staging area, when the volume of data and the extraction-transformation-loading (ETL) complexity is high
        • The implementation of automated ETL processes
        • The use of multidimensional structures and analysis at the data mart level, based on the dimensional model and on-line analytical processing (OLAP) tools
        • The use of an iterative development approach, which is h
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          high
        • The implementation of automated ETL processes
        • The use of multidimensional structures and analysis at the data mart level, based on the dimensional model and on-line analytical processing (OLAP) tools
        • The use of an iterative development approach, which is h
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          , based on the dimensional model and on-line analytical processing (OLAP) tools
        • The use of an iterative development approach, which is however based on different design and development methodologies.
        The main differences are identified at the following points (K for Kimball, I for Inmon): Data warehouse development philosophyK: Based on the prioritized selection of specific business processes. I: Based on the Enterprise ‘data model’ as it is defined by this approach.

        K: Direct development of data marts on the selected business processes. Exclusive use of denormalized dimensional models (star schemas).

        I: Development of the Enterprise Datawarehouse (EDW) based on a

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