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    d together via conformed dimensions, thus forming a virtual ‘bus architecture’. Therefore, accordi
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    There are two prevalent approaches to the development of Datawarehouse Architectures:

    1. Data Warehouse (DWH) bus architecture (introduced by Ralph Kimball)
    According to this approach the DWH is developed in phases. Each phase includes the development of a set of dimensional models which are linked together via conformed dimensions, thus forming a virtual ‘bus architecture’. Therefore, accordin
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    i>Data Warehouse (DWH) bus architecture (introduced by Ralph Kimball) According to this approach the DWH is developed in phases. Each phase includes the development of a set of dimensional models which are linked together via conformed dimensions, thus forming a virtual ‘bus architecture’. Therefore, accordi
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    /" target="_blank">Ralph Kimball) According to this approach the DWH is developed in phases. Each phase includes the development of a set of dimensional models which are linked together via conformed dimensions, thus forming a virtual ‘bus architecture’. Therefore, accordi
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    loped in phases. Each phase includes the development of a set of dimensional models which are linked together via conformed dimensions, thus forming a virtual ‘bus architecture’. Therefore, accordi
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    d together via conformed dimensions, thus forming a virtual ‘bus architecture’. Therefore, according to this approach, at the core of the DWH resides a denormalised dimensional data model, which handles data at the atomic level.The major advantages of this approach are inherited from the use of the dimensional model combined with the ‘conformed dimensions’ principle. This model’s simple and symmetric structure is easily understood by Business Analysts (easier than complex normalized data m

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