Data modeling: Difference between revisions

Revision as of 18:29, 16 September 2023

Revision as of 18:30, 16 September 2023

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=== Modeling methodologies ===

{{See also|RoundModel-tripdriven engineering}}

Data models represent information areas of interest. While there are many ways to create data models, according to [[Len Silverston]] (1997)<ref name="SIG97">Len Silverston, W.H.Inmon, Kent Graziano (2007). ''The Data Model Resource Book''. Wiley, 1997. {{ISBN|0-471-15364-8}}. Reviewed by [http://www.tdan.com/view-book-reviews/5593 Van Scott on tdan.com]. Accessed November 1, 2008.</ref> only two modeling methodologies stand out, top-down and bottom-up:

* Bottom-up models or View Integration models are often the result of a [[reengineering (software)|reengineering]] effort. They usually start with existing data structures forms, fields on application screens, or reports. These models are usually physical, application-specific, and incomplete from an [[enterprise architecture|enterprise perspective]]. They may not promote data sharing, especially if they are built without reference to other parts of the organization.<ref name="SIG97"/>