Developing High Quality Data Models

Preface Part 1 Motivations and Notations Chapter 1 Introduction 1.1 Some Questions about Data Models 1.2 Purpose 1.3 Target Audience 1.4 What Is a Data Model? 1.5 Why Do We Do Data Models? 1.6 Approach to Data Modeling 1.7 Structure of This Book Chapter 2 Entity Relationship Model Basics 2.1 Oh, Its Boxes and Lines Again 2.2 Graphical or Lexical 2.3 Graphical Notations: Complexity vs. Understandability vs. Capability 2.4 Language and Notation Elements 2.5 Express-G 2.6 Notation for Instances and Classes 2.7 Layout of Data Models 2.8 Reflections Chapter 3 Some Types and Uses of Data Models 3.1 Different Types of Data Models 3.2 Integration of Data and Data Models 3.3 Concluding Remarks Chapter 4 Data Models and Enterprise Architecture 4.1 The Business Process Model 4.2 Information Architecture 4.3 Information Operations 4.4 Organization 4.5 Methodologies and Standards 4.6 Management 4.7 Wider Infrastructure 4.8 Enterprise Architecture Mappings 4.9 The Process/Data Balance Chapter 5 Some Observations on Data Models and Data Modeling 5.1 Limitations of Data Models 5.2 Challenges in Data Modeling Part 2 General Principles for Data Models Chapter 6 Some General Principles for Conceptual, Integration, and Enterprise Data Models 6.1 Data Modeling Approach 6.2 General Principles 6.3 Understanding Relationships 6.4 Principles for Data Models 6.5 Naughtiness Index Chapter 7 Applying the Principles for Attributes 7.1 Looking for Attributes Representing Relationships 7.2 Identifiers 7.3 What Other Attributes Might You Expect?