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Chapter 7.3: Data Modeling for the Structured Environment
           Chapter 7.3



           Data Modeling for the Structured Environment



           Abstract



           The genesis of much data is the operational environment. As transactions are executed,
           data are generated as a by-product. Response time is essential for online transaction
           systems. Good response time is achieved by adherence to the “standard work unit.” The
           swu allows corporations to run many transactions and maintain consistent, good response

           time. The structure of operational data is achieved by the creation of a data model. The
           data model is built at several levels—the high level is the ERD, the midlevel is the dis,
           and the low level is the physical model. An important part of the operational environment
           is the component known as metadata. It is metadata that describe the structure and
           content of operational data.


           Keywords



           Operational environment; Standard work unit (swu); Response time; ERD; Dis; Physical
           model; Data model; Metadata


           The structured environment contains a lot of complex data with a lot of possibilities for
           organizing and arranging that data. In the structured environment, the analyst has the
           opportunity to shape the data according to his/her needs. And given the many ways that
           data can be shaped, the organization needs a “road map” to guide the organization in its
           efforts to shape the data.



           The Purpose of the Roadmap



           The road map serves several important purposes:


               - The road map serves as a direction for the organization to go.
               - The road map serves as a guide to different people with different agendas who still must build a
               collaborative effort.
               - The road map allows a large effort to be sustained over time.
               - The road map serves as a guide to end users who ultimately must navigate the final product.

           There are many reasons then why large, complex organizations need a data model.
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