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Автор: Johnson E., Jones J.
Качество: Изначально компьютерное (eBook)
Интерактивное оглавление: Да
Количество страниц: 299
Описание: 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 .NET 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.
Chapter 1 Data Modeling Overview 3
Chapter 2 Elements Used in Logical Data Models 23
Chapter 3 Physical Elements of Data Models 45
Chapter 4 Normalizing a Data Model 81
PART II Business Requirements 95
Chapter 5 Requirements Gathering 97
Chapter 6 Interpreting Requirements 117
PART III Creating the Logical Model 147
Chapter 7 Creating the Logical Model 149
Chapter 8 Common Data Modeling Problems 171
PART IV Creating the Physical Model 187
Chapter 9 Creating the Physical Model with SQL Server 189
Chapter 10 Indexing Considerations 221
Chapter 11 Creating an Abstraction Layer in SQL Server 241
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
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