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    and the unique ‘Enterprise Data warehouse’ is updated through an ETL process (as described in Part 1). Moreover, implementation of an integrated operational database, covering all the Enterprise, is proposed if operational sy
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    The Inmon approach (marketed as Corporate Information Factory) involves the holistic view of the Enterprise and its informational needs. First implementation step, according to this approach, is the design of the Enterprise data model, supporting all its activities with completeness and sufficient detail ((‘atomic data model’). This is not any existing database model, but an abstract model of the information, actually used by the Enterprise. The data model of the so called ‘Enterprise Data warehouse’ is designed based on this abstract model. Data are extracted from all operational systems and other sources and the unique ‘Enterprise Data warehouse’ is updated through an ETL process (as described in Part 1). Moreover, implementation of an integrated operational database, covering all the Enterprise, is proposed if operational sy

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    of the data warehouse, according to the Inmon approach.

    The Inmon approach (marketed as Corporate Information Factory) involves the holistic view of the Enterprise and its informational needs. First implementation step, according to this approach, is the design of the Enterprise data model, supporting all its activities with completeness and sufficient detail ((‘atomic data model’). This is not any existing database model, but an abstract model of the information, actually used by the Enterprise. The data model of the so called ‘Enterprise Data warehouse’ is designed based on this abstract model. Data are extracted from all operational systems and other sources and the unique ‘Enterprise Data warehouse’ is updated through an ETL process (as described in Part 1). Moreover, implementation of an integrated operational database, covering all the Enterprise, is proposed if operational sy

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    according to this approach, is the design of the Enterprise data model, supporting all its activities with completeness and sufficient detail ((‘atomic data model’). This is not any existing database model, but an abstract model of the information, actually used by the Enterprise. The data model of the so called ‘Enterprise Data warehouse’ is designed based on this abstract model. Data are extracted from all operational systems and other sources and the unique ‘Enterprise Data warehouse’ is updated through an ETL process (as described in Part 1). Moreover, implementation of an integrated operational database, covering all the Enterprise, is proposed if operational sy
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    del of the information, actually used by the Enterprise. The data model of the so called ‘Enterprise Data warehouse’ is designed based on this abstract model. Data are extracted from all operational systems and other sources and the unique ‘Enterprise Data warehouse’ is updated through an ETL process (as described in Part 1). Moreover, implementation of an integrated operational database, covering all the Enterprise, is proposed if operational sy
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    and the unique ‘Enterprise Data warehouse’ is updated through an ETL process (as described in Part 1). Moreover, implementation of an integrated operational database, covering all the Enterprise, is proposed if operational systems are not integrated. This is known as an Operational Data Store (ODS), and has a dual role:

    · Serving operational processes

    · Support operational reporting & decision making. If an ODS is developed, it becomes the primary source of the Enterprise Datawarehouse. In that way, the implementation of ETL (extraction-transformation-loading) streams from multiple data sources is avoided.

    According to the Inmon approach, data marts should be ‘fed’ exclusively from the ‘Enterprise Data warehouse’, in order to assure the single version of truth. This approach is known in the literature as ‘dependent data mart’ approach, given that the data marts depend on the ‘Enterprise Data warehouse’. According to Inmon, the development of independent data marts (which are fed directly from operational systems) creates information silos which are uncoupled, do not assure the

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