Star Wars Sale
 
 

Special Offers see all

Enter to WIN!

Weekly drawing for $100 credit. Subscribe to PowellsBooks.news for a chance to win.
Privacy Policy

More at Powell's


Recently Viewed clear list


Original Essays | June 20, 2014

Lisa Howorth: IMG So Many Books, So Many Writers



I'm not a bookseller, but I'm married to one, and Square Books is a family. And we all know about families and how hard it is to disassociate... Continue »
  1. $18.20 Sale Hardcover add to wish list

    Flying Shoes

    Lisa Howorth 9781620403013

spacer
Qualifying orders ship free.
$27.00
Used Trade Paper
Ships in 1 to 3 days
Add to Wishlist
Qty Store Section
1 Burnside - Bldg. 2 Database- Applications

More copies of this ISBN

Other titles in the Addison-Wesley Microsoft Technology series:

A Developer's Guide to Data Modeling for SQL Server: Covering SQL Server 2005 and 2008 (Addison-Wesley Microsoft Technology)

by

A Developer's Guide to Data Modeling for SQL Server: Covering SQL Server 2005 and 2008 (Addison-Wesley Microsoft Technology) Cover

 

Synopses & Reviews

Publisher Comments:

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

Synopsis:

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

About the Author

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.

Table of 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

Product Details

ISBN:
9780321497642
Author:
Johnson, Eric
Publisher:
Addison-Wesley Professional
Author:
Jones, Joshua
Subject:
Data Modeling & Design
Subject:
Data structures (computer science)
Subject:
Database design
Subject:
Database Management - General
Copyright:
Edition Description:
Trade paper
Series:
The Addison-Wesley Microsoft Technology Series
Publication Date:
July 2008
Binding:
TRADE PAPER
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Y
Pages:
304
Dimensions:
9.25 x 7 x 0.722 in 581 gr

Related Subjects

Computers and Internet » Database » Applications
Computers and Internet » Database » Design
Computers and Internet » Software Engineering » Software Management
History and Social Science » Politics » General

A Developer's Guide to Data Modeling for SQL Server: Covering SQL Server 2005 and 2008 (Addison-Wesley Microsoft Technology) Used Trade Paper
0 stars - 0 reviews
$27.00 In Stock
Product details 304 pages Addison-Wesley Professional - English 9780321497642 Reviews:
"Synopsis" by , 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

spacer
spacer
  • back to top
Follow us on...




Powell's City of Books is an independent bookstore in Portland, Oregon, that fills a whole city block with more than a million new, used, and out of print books. Shop those shelves — plus literally millions more books, DVDs, and gifts — here at Powells.com.