Information Modeling and Relational Databases, second edition, provides an introduction to ORM (Object-Role Modeling)and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, and programmers. Terry Halpin, a pioneer in the development of ORM, blends conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. Supported by examples, exercises, and useful background information, his step-by-step approach teaches you to develop a natural-language-based ORM model, and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives.

Key Features

*Presents the most indepth coverage of Object-Role Modeling available anywhere, including a thorough update of the book for ORM2, as well as UML2 and E-R (Entity-Relationship) modeling. *Includes clear coverage of relational database concepts, and the latest developments in SQL and XML, including a new chapter on the impact of XML on information modeling, exchange and transformation. * New and improved case studies and exercises are provided for many topics. * The book's associated web site provides answers to exercises, appendices, advanced SQL queries, and links to downloadable ORM tools.


The audience is the same as for the first edition: data modelers, database designers, information architects, and practitioners/managers in data management.

Table of Contents

1 Introduction 1.1 Information Modeling 1.2 Modeling Approaches 1.3 Some Historical Background 1.4 The Relevant Skills 1.5 Summary 2 Information Levels and Frameworks 2.1 Four Information Levels 2.2 The Conceptual Level 2.3 Database Design Example 2.4 Development Frameworks 2.5 Summary 3 Conceptual Modeling: First Steps 3.1 Conceptual Modeling Language Criteria 3.2 Conceptual Schema Design Procedure 3.3 CSDP Step 1: From Examples to Elementary Facts 3.4 CSDP Step 2: Draw Fact Types, and Populate 3.5 CSDP Step 3: Trim Schema; Note Basic Derivations 3.6 Summary 4 Uniqueness Constraints 4.1 CSDP Step 4: Uniqueness Constraints; Arity Check 4.2 Uniqueness Constraints on Unaries and Binaries 4.3 Uniqueness Constraints on Longer Fact Types 4.4 External Uniqueness Constraints 4.5 Key Length Check 4.6 Projections and Joins 4.7 Summary 5 Mandatory Roles 5.1 Introduction to CSDP Step 5 5.2 Mandatory and Optional Roles 5.3 Reference Schemes 5.4 Case Study: A Compact Disc Retailer 5.5 Logical Derivation Check 5.6 Summary 6 Value, Set-Comparison and Subtype Constraints 6.1 CSDP Step 6: Value, Set-Comparison and Subtype constraints 6.2 Basic Set Theory 6.3 Value Constraints and Independent Objects 6.4 Subset, Equality, and Exclusion Constraints 6.5 Subtyping


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© 2008
Morgan Kaufmann
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This book is an excellent introduction to both information modeling in ORM and relational databases. The book is very clearly written in a step-by-step manner, and contains an abundance of well-chosen examples illuminating practice and theory in information modeling. I strongly recommend this book to anyone interested in conceptual modeling and databases. Dr. Herman Balsters, Director of the Faculty of Industrial Engineering, University of Groningen, The Netherlands