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Developers Guide to Data Modeling for SQL Server, A: Covering SQL Server 2005 and 2008
£39.99

DEVELOPERS GUIDE TO DATA MODELING FOR SQL SERVER, A: COVERING SQL SERVER 2005 AND 2008

PAPERBACK BY JOHNSON, ERIC; JONES, JOSHUA

£39.99

ISBN
9780321497642
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EDITION
PUBLISHER
PEARSON EDUCATION (US)
IMPRINT
ADDISON-WESLEY EDUCATIONAL PUBLISHERS INC
FORMAT
PAPERBACK
PAGES
304 pages
PUBLICATION DATE
24 JUN 2008

DESCRIPTION

A Developer's Guide to Data Modeling for SQL Server explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications. Eric Johnson and Joshua Jones combine a deep understanding of the science of data modeling with the art that comes with years of experience. If you're new to data modeling, or find the need to brush up on its concepts, this book is for you. -Peter Varhol, Executive Editor, Redmond Magazine Model SQL Server Databases That Work Better, Do More, and Evolve More Smoothly Effective data modeling is essential to ensuring that your databases will perform well, scale well, and evolve to meet changing requirements. However, if you're modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic data modeling knowledge isn't enough: models that don't reflect SQL Server's unique real-world strengths and weaknesses often lead to disastrous performance. A Developer's Guide to Data Modeling for SQL Server is a practical, SQL Server-specific guide to data modeling for every developer, architect, and administrator. This book offers you invaluable start-to-finish guidance for designing new databases, redesigning existing SQL Server data models, and migrating databases from other platforms. You'll begin with a concise, practical overview of the core data modeling techniques. Next, you'll walk through requirements gathering and discover how to convert requirements into effective SQL Server logical models. Finally, you'll systematically transform those logical models into physical models that make the most of SQL Server's extended functionality. All of this book's many examples are available for download from a companion Web site. This book enables you to * Understand your data model's physical elements, from storage to referential integrity * Provide programmability via stored procedures, user-defined functions, triggers, and .N ET CLR integration * Normalize data models, one step at a time * Gather and interpret requirements more effectively * Learn an effective methodology for creating logical models * Overcome modeling problems related to entities, attribute, data types, storage overhead, performance, and relationships * Create physical models-from establishing naming guidelines through implementing business rules and constraints * Use SQL Server's unique indexing capabilities, and overcome their limitations * Create abstraction layers that enhance security, extensibility, and flexibility

CONTENTS

Preface xv Acknowledgments xvii About the Authors xix PART I: Data Modeling Theory 1 Chapter 1: Data Modeling Overview 3 Databases 4 Why a Sound Data Model Is Important 6 Data Consistency 6 The Process of Data Modeling 14 Summary 21 Chapter 2: Elements Used in Logical Data Models 23 Entities 23 Attributes 24 Referential Integrity 32 Relationships 35 Relationship Types 35 Relationship Options 40 Cardinality 41 Using Subtypes and Supertypes 42 Supertypes and Subtypes Defined 42 When to Use Subtype Clusters 44 Summary 44 Chapter 3: Physical Elements of Data Models 45 Physical Storage 45 Referential Integrity 59 Programming 71 Implementing Supertypes and Subtypes 75 Summary 79 PART II: Business Requirements 95 Chapter 5: Requirements Gathering 97 Requirements Gathering Overview 98 Gathering Requirements Step by Step 98 Business Needs 111 Balancing Technical Limitations with Business Needs 112 Gathering Usage Data 112 Summary 116 Chapter 6: Interpreting Requirements 117 Mountain View Music 117 Compiling Requirements Data 119 Determining Model Requirements 121 Determining the Business Rules 138 Requirements Documentation 141 Looking Ahead: The Business Review 143 Summary 145 PART III: Creating the Logical Model 147 Chapter 7: Creating the Logical Model 149 Diagramming a Data Model 149 Using Requirements to Build the Model 157 Building the Model 164 Summary 170 Chapter 8: Common Data Modeling Problems 171 Entity Problems 171 Attribute Problems 176 Relationship Problems 182 Summary 185 PART IV: Creating the Physical Model 187 Chapter 9: Creating the Physical Model with SQL Server 189 Naming Guidelines 189 Deriving the Physical Model 198 Implementing Business Rules in the Physical Model 211 Summary 219 Chapter 10: Indexing Considerations 221 Indexing Overview 221 Database Usage Requirements 230 Determining the Appropriate Indexes 233 Implementing Indexes in SQL Server 236 Summary 239 Chapter 11: Creating an Abstraction Layer in SQL Server 241 What Is an Abstraction Layer? 241 Why Use an Abstraction Layer? 242 An Abstraction Layer's Relationship to the Logical Model 245 An Abstraction Layer's Relationship to Object-Oriented Programming 246 Implementing an Abstraction Layer 247 Summary 254 Appendix A: Sample Logical Model 255 Appendix B: Sample Physical Model 261 Appendix C: SQL Server 2008 Reserved Words 267 Appendix D: Recommended Naming Standards 269 Index 271