A developer's guide to data modeling for SQL server : covering SQL server 2005 and 2008

Format:

Book

Author/Creator:

Johnson, Eric, Author.

Contributor:

Jones, Joshua, Contributor.

Series:

Addison-Wesley Microsoft technology series A developer's guide to data modeling for SQL server

Language:

English

Subjects (All):

SQL server.

Database design.

Data structures (Computer science).

Physical Description:

1 online resource (xix, 277 p. ) ill. ;

Edition:

1st edition

Place of Publication:

[Place of publication not identified] Addison Wesley 2008

Language Note:

English

System Details:

text file

Summary:

“ 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 abstracti...

Contents:

About the authors

Data modeling theory

Elements used in logical data models

Physical elements of data models

Normalizing a data model

Requirements gathering

Interpreting requirements

Creating the logical model

Common data modeling problems

Creating the physical model with SQL server

Indexing considerations

Creating an abstraction layer in SQL server.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Description based on publisher supplied metadata and other sources.

ISBN:

9786612648755

9780132701532

0132701537

9781282648753

1282648756

9780321574206

0321574206

OCLC:

297576741