A Developer's Guide to Data Modeling for SQL

This book teaches Database developers how to build better databases by applying logical data modelling techniques to Microsoft SQL Server.

Eric Johnson (Microsoft SQL MVP)is the co-founder of Consortio Services and the primary database technologies consultant. His background in information technology is diverse, ranging from operating systems and hardware to specialized applications and development. He has even done his fair share of work on networks. Because IT is a way to support business processes, Eric has also acquired an MBA. All in all, he has ten years of experience with IT, much of it working with Microsoft SQL Server. Eric has managed and designed databases of all shapes and sizes. He has delivered numerous SQL Server training classes and Webcasts as well as presentations at national technology conferences. Most recently, he presented at TechMentor on SQL Server 2005 replication, reporting services, and integration services. In addition, he is active in the local SQL Server community, serving as the president of the Colorado Springs SQL Server Users Group. He is also the co-host of CS Techcast, a weekly podcast for IT professionals at www.cstechcast.com. You can find Eric’s blog at www.consortioservices.com/blog.

Joshua Jones (MCTS, SQL Server 2005; MCITP, Database Administrator) is operating systems and database systems consultant with Consortio Services in Colorado Springs. There he provides training, administration, analysis, and design support for customers using SQL Server 2000 and 2005. In his seven years as an IT professional, he has worked in many areas of information technology, including Windows desktop support, Windows 2000 and 2003 server infrastructure design and support (AD, DNS, MS Exchange), telephony switch support, and network support. Josh has spoken at various PASS sponsored events about SQL Server topics such as 64-bit SQL Server implementation, reporting services administration, and performance tuning. He is also a co-host of CS Techcast, a weekly podcast for IT professionals at www.cstechcast.com.

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

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A Developer's Guide to Data Modeling for SQL Server Covering SQL Server 2005 and 2008

Summary

Author Biography

Table of Contents

Supplemental Materials