- •Contents
- •Data Modeling Concepts
- •Benefits of Data Modeling
- •Methods
- •Typographical Conventions
- •Introduction
- •Data Modeling
- •Data Modeling Sessions
- •Session Roles
- •Sample IDEF1X Modeling Methodology
- •Modeling Architecture
- •Logical Models
- •Entity Relationship Diagram
- •Key-Based Model
- •Fully-Attributed Model
- •Physical Models
- •Transformation Model
- •DBMS Model
- •How to Construct a Logical Model
- •Entity Relationship Diagram
- •Entities and Attributes Defined
- •Logical Relationships
- •Many-to-Many Relationships
- •Logical Model Design Validation
- •Data Model Example
- •Key-Based Data Model
- •Key Types
- •Entity and Non-Key Areas
- •Primary Key Selection
- •Alternate Key Attributes
- •Inversion Entry Attributes
- •Relationships and Foreign Key Attributes
- •Dependent and Independent Entities
- •Identifying Relationships
- •Non-Identifying Relationships
- •Rolenames
- •Overview
- •Entity and Attribute Names
- •Synonyms, Homonyms, and Aliases
- •Entity Definitions
- •Descriptions
- •Business Examples
- •Comments
- •Definition References and Circularity
- •Business Glossary Construction
- •Attribute Definitions
- •Validation Rules
- •Rolenames
- •Definitions and Business Rules
- •Relationships
- •Relationship Cardinality
- •Cardinality in Non-Identifying Relationships
- •Referential Integrity
- •Referential Integrity Options
- •RI, Cardinality, and Identifying Relationships
- •RI, Cardinality, and Non-Identifying Relationships
- •Additional Relationship Types
- •Many-to-Many Relationships
- •N-ary Relationships
- •Recursive Relationships
- •Subtype Relationships
- •Complete Compared to Incomplete Subtype Structures
- •Inclusive and Exclusive Relationships
- •IDEF1X and IE Subtype Notation
- •When to Create a Subtype Relationship
- •Normalization
- •Overview of the Normal Forms
- •Common Design Problems
- •Repeating Data Groups
- •Multiple Use of the Same Attribute
- •Multiple Occurrences of the Same Fact
- •Conflicting Facts
- •Derived Attributes
- •Missing Information
- •Unification
- •How Much Normalization Is Enough
- •Support for Normalization
- •First Normal Form Support
- •Second and Third Normal Form Support
- •Objective
- •Support for the Roles of the Physical Model
- •Summary of Logical and Physical Model Components
- •Denormalization
- •Classification of Dependent Entities
- •Glossary
- •Index
Entity Definitions
Descriptions
A description should be a clear and concise statement that tells whether an object is or is not the thing you are trying to define. Often such descriptions can be fairly short. Be careful, however, that the description is not too general or uses terms that are not defined. Here are a couple of examples, one of good quality and one that is questionable:
Example of good description:
A COMMODITY is something that has a value that can be determined in an exchange.
This is a good description since, after reading it, you know that something is a COMMODITY if someone is, or would be, willing to trade something for it. If someone is willing to give you three peanuts and a stick of gum for a marble, then you know that a marble is a COMMODITY.
Example of bad description:
A CUSTOMER is someone who buys something from our company.
This is not a good description since you can easily misunderstand the word “someone” if you know that the company also sells products to other businesses. Also, the business may want to track potential CUSTOMERs, not just those who have already bought something from the company. You can also define “something” more fully to describe whether the sale is of products, services, or some combination of the two.
Business Examples
It is a good idea to provide typical business examples of the thing being defined, since good examples can go a long way to help the reader understand a definition. Comments about peanuts, marbles, or something related to your business can help a reader to understand the concept of a COMMODITY. The definition states that a commodity has value. The example can help to show that value is not always measured in money.
Comments
You can also include general comments about who is responsible for the definition and who is the source, what state it is in, and when it was last changed as a part of the definition. For some entities, you may also need to explain how it and a related entity or entity name differ. For instance, a CUSTOMER might be distinguished from a PROSPECT.
40 Methods Guide
