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  • Will You Add? - Introduction to Dimensional Modeling for Data Warehousing Part 2, Dimensional Modeling Principles

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    process shall be monitored (also called grain statement). The grain statement is the first step in a dimensional model design. Examples of grain statement are:· Each product sold (meaning: an entry shall
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    In part 1 of this article series, we described the general structure of a dimensional model. In the present article we shall describe the basic design principles of dimensional modeling. Dimensional modeling follows the four steps defined below. A. Selection of the business process (or processes), the performance of which shall be monitored. Business processes the performance of which is considered critical, and relevant data are sufficient (e.g. operations data derived from these processes), should be selected with priority. The selected business process, may relate to a single organizational unit, or spanning more than one organizational unit.

    The capture of overlapping information by different departments which can lead to many versions of truth, is avoided through the capture of a single data stream for an ‘end-to-end’ process. B. Determination of the level of detail at which the process shall be monitored (also called grain statement). The grain statement is the first step in a dimensional model design. Examples of grain statement are:· Each product sold (meaning: an entry shall

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    d below. A. Selection of the business process (or processes), the performance of which shall be monitored. Business processes the performance of which is considered critical, and relevant data are sufficient (e.g. operations data derived from these processes), should be selected with priority. The selected business process, may relate to a single organizational unit, or spanning more than one organizational unit.

    The capture of overlapping information by different departments which can lead to many versions of truth, is avoided through the capture of a single data stream for an ‘end-to-end’ process. B. Determination of the level of detail at which the process shall be monitored (also called grain statement). The grain statement is the first step in a dimensional model design. Examples of grain statement are:· Each product sold (meaning: an entry shall

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    ficient (e.g. operations data derived from these processes), should be selected with priority. The selected business process, may relate to a single organizational unit, or spanning more than one organizational unit.

    The capture of overlapping information by different departments which can lead to many versions of truth, is avoided through the capture of a single data stream for an ‘end-to-end’ process. B. Determination of the level of detail at which the process shall be monitored (also called grain statement). The grain statement is the first step in a dimensional model design. Examples of grain statement are:· Each product sold (meaning: an entry shall

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    overlapping information by different departments which can lead to many versions of truth, is avoided through the capture of a single data stream for an ‘end-to-end’ process. B. Determination of the level of detail at which the process shall be monitored (also called grain statement). The grain statement is the first step in a dimensional model design. Examples of grain statement are:· Each product sold (meaning: an entry shall
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    process shall be monitored (also called grain statement). The grain statement is the first step in a dimensional model design. Examples of grain statement are:· Each product sold (meaning: an entry shall be created in the fact table for each product sold)o Each new service contract (e.g. insurance contract) o The daily snapshot of the stock in a pharmacy

    o The accumulated capture of all facts of a transaction which has been completed in more than one steps (e.g. the lifecycle of a tax transaction: tax statement submission – statement control – tax clearance – payment – final payment)

    Based on the grain statement, one can derive the facts which should be stored in the fact table as well as the ‘surrounding’ dimensions.

    The level of detail captured should be the lowest possible (atomic level). The lowest level of detail, includes the full scope of informational dimensions related to an event.

    As soon as a higher level of detail is selected, by aggregating atomic data, certain event dimensions are lost.

    Dimensional models aim to capture measurements, according to the way an Analyst views da

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