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The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling
book

The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling

by Paul Agnew, Len Silverston
January 2009
Beginner to intermediate
641 pages
26h 48m
English
Wiley
Content preview from The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling
Silverston c05.tex V2 - 11/21/2008 3:04am Page 230
230 Chapter 5 Types and Categories: the Classification of Data
What Are the Weaknesses of the Pattern?
The weaknesses of this pattern are as follows:
It has the same weaknesses as the Level 3 Classification Pattern. For
example, it is not effective for using as a part of the statement of scope,
or for gathering and validating data requirements for nontechnical audi-
ences. It does not capture specific business rules, data or
relationships for specific types of categories or types. It also allows data
modelers to use ‘‘catch all’’ categories without doing detailed analysis.
It is very complex and difficult to understand. It is a complex pattern
that introduces many-to-many recursive relationships and schemes. It
can be difficult even for seasoned data professionals to understand and
communicate this pattern to the business or other IT professionals.
It may be overkill if only one-to-many recursions are needed or if
schemes are not needed. Many times there is only a need to have one-
to-many recursive relationships for categories and category types, so
many-to-many relationships are not necessary. Also, there may not be a
need to capture schemes and the related data providers.
Synopsis
In this pattern we introduced the idea of an ENTITY CATEGORY TYPE
SCHEME. This is where a set of ENTITY CATEGORY TYPE(s) has been
designated by an external or internal organization ...
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Publisher Resources

ISBN: 9780470178454Other