Modeling Business Rules - High-Performance Web Databases: Design, Development, and Deployment - page 156

tion, historical information, and externally controlled business information.
It also provides an approach for modeling difficult business information.
Chapter 16, “Making Data Models Readable,” describes why some practi-
tioners have had difficulties with data models, and then provides guidelines
for building more usable data models. This includes how data models
should be constructed, named, and communicated within an organization.
Several modeling approaches are considered, including a basic E-R
diagram, Chen's relationships, Oracle method cardinality and optionality,
James Martin cardinality and optionality, and the Shlaer and Mellor
cardinality and optionality.
Chapter 17, “Integrating Process and Data Models in a Horizontal Organi-
zation” describes approaches for integrating process models and data mod-
els into a unified solution. This chapter defines the characteristics of a hori-
zational organization and describes a process- and data-focused approach
for achieving strategic objectives.
Chapter 18, “Avoiding Pitfalls in Data Modeling,” examines approaches
for avoiding commonly encountered pitfalls in building data models at the
enterprise level.
Chapter 19, “The Politics of Entity Identifiers,” describes how to leverage
entity identifiers to improve logical and physical database design. This is
based on establishing data element properties and defining data element
sets. This chapter also examines some commonly encountered entity iden-
tifier problems.
Chapter 20, “Practical Guidelines for Supertype and Subtype Modeling,”
describes a goal-oriented approach to supertype and subtype modeling.
It also describes expectations from other parts of the organization, includ-
ing IT management, data administration, and architecture, for building
these models.