Data Modeling Design

Data Model Scorecard: Applying the Industry Standard on Data by Steve Hoberman

By Steve Hoberman

Information types are the most medium used to speak facts requisites from company to IT, and inside IT from analysts, modelers, and designers, to database designers and builders. hence it's essential get the knowledge version correct. yet how do you establish correct? that is the place the information version Scorecard is available in.

The facts version Scorecard is an information version caliber scoring software containing ten different types aimed toward enhancing the standard of your organization's facts versions. lots of my consulting assignments are devoted to utilising the knowledge version Scorecard to my client's facts versions - i'll help you follow the Scorecard during this e-book.

This booklet, written for those who construct, use, or assessment information versions, comprises the knowledge version Scorecard template and a proof besides many examples of every of the 10 Scorecard different types. There are 3 sections: In part I, info Modeling and the necessity for Validation, obtain a brief information modeling primer in bankruptcy 1, comprehend why it is very important get the information version correct in bankruptcy 2, and know about the information version Scorecard in bankruptcy three. In part II, information version Scorecard different types, we'll clarify all the ten different types of the information version Scorecard. There are ten chapters during this part, each one bankruptcy devoted to a selected Scorecard class:

  • Chapter four: Correctness
  • Chapter five: Completeness
  • Chapter 6: Scheme
  • Chapter 7: constitution
  • Chapter eight: Abstraction
  • Chapter nine: criteria
  • Chapter 10: clarity
  • Chapter eleven: Definitions
  • Chapter 12: Consistency
  • Chapter thirteen: Data

In part III, Validating information versions, we are going to arrange for the version assessment (Chapter 14), hide the best way to support in the course of the version evaluation (Chapter 15), after which evaluate a knowledge version established upon an exact undertaking (Chapter 16).

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They contain a finite set of values from which to choose. List domains are refinements of format domains. The format domain for Order Status Code might be Character(10). This domain can be further defined through a list domain of possible values {Open, Shipped, Closed, Returned}. Range domains allow all values that are between a minimum and maximum value. For example, Order Delivery Date must be between today’s date and three months in the future. As with list domains, range domains are a refined version of a format domain.

Minimal. A candidate key should contain only those attributes that are needed to uniquely identify an entity instance. If four attributes are listed as the composite candidate key for an entity, but only three are really needed for uniqueness, then only those three should make up the candidate key. For example, each Student may attend one or many Classes, and each Class may contain one or many Students. Here are some sample instances for each of these entities: Student Student Number First Name Last Name Birth Date SM385932 Steve Martin 1/25/1958 EM584926 Eddie Murphy 3/15/1971 HW742615 Henry Winkler 2/14/1984 MM481526 Mickey Mouse 5/10/1982 DD857111 Donald Duck 5/10/1982 MM573483 Minnie Mouse 4/1/1986 LR731511 Lone Ranger 10/21/1949 EM876253 Eddie Murphy 7/1/1992 Attendance Attendance Date 5/10/2015 6/10/2015 7/10/2015 Class Class Full Name Class Short Name Class Description Text Data Modeling Fundamentals Data Modeling 101 An introductory class covering basic data modeling concepts and principles.

Therefore, Promotion Type Code and Promotion Start Date together are a composite candidate key for a promotion. A candidate key has four main characteristics: Unique. A candidate key value must not identify more than one entity instance (or one real-world thing). Mandatory. A candidate key may not be empty (also known as nullable). Each entity instance must be identified by exactly one candidate key value. Therefore, the number of distinct values of a candidate key is always equal to the number of distinct entity instances.

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