Description

Information Modeling and Relational Databases provides an introduction to ORM (Object Role Modeling)-and much more. In fact, it's 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.

Inside, ORM authority Terry Halpin 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

* The most in-depth coverage of Object Role Modeling available anywhere-written by a pioneer in the development of ORM. * Provides additional coverage of Entity Relationship (ER) modeling and the Unified Modeling Language-all from an ORM perspective. * Intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, instructors, managers, and programmers. * Explains and illustrates required concepts from mathematics and set theory. * Via a companion Web site, provides answers to exercises, appendices covering the history of computer generations, subtype matrices, and advanced SQL queries, and links to downloadable ORM tools.

Readership

Systems analysts, information modelers, database designers and administrators, instructors, managers, and programmers.

Table of Contents

Industrial foreword Academic foreword Preface 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 From external to conceptual to relational 2.4 Development frameworks 2.5 Summary 3 Conceptual modeling: first steps 3.1 Conceptual modeling language criteria 3.2 ORM's 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; rarity 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 Projection-join check 4.7 Summary 5 Mandatory roles 5.1 Introduction to CSDP step 5 5.2 Mandatory and optional roles

Details

No. of pages:
761
Language:
English
Copyright:
© 2001
Published:
Imprint:
Morgan Kaufmann
eBook ISBN:
9780080508665
Print ISBN:
9781558606722

About the author

Terry Halpin

Dr. Terry Halpin is a professor at Northface University. He has led database research teams at several companies including Visio Corporation and Microsoft Corporation, where he worked on the conceptual and logical database modeling technology in Microsoft Visio for Enterprise Architects. His publications include over 100 technical papers and five books.

Affiliations and Expertise

Neumont University, Utah

Reviews

Information Modeling and Relational Databases provides an introduction to ORM (Object Role Modeling)-and much more. In fact, it's 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.

Inside, ORM authority Terry Halpin 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.