A Developer's Guide to Data Modeling for SQL Server: Covering SQL Server 2005 and 2008-优快云博客

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本书为开发者提供了针对 SQL Server 的实用数据建模指南，涵盖了从需求收集到逻辑模型创建，再到物理模型实现的全过程。书中详细介绍了如何利用 SQL Server 的特性来优化数据库性能，并通过大量实例帮助读者掌握数据建模技巧。

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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 youre modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic data modeling knowledge isnt enough: models that dont reflect SQL Servers unique real-world strengths and weaknesses often lead to disastrous performance.

A Developers 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.

Youll begin with a concise, practical overview of the core data modeling techniques. Next, youll walk through requirements gathering and discover how to convert requirements into effective SQL Server logical models. Finally, youll systematically transform those logical models into physical models that make the most of SQL Servers extended functionality. All of this books many examples are available for download from a companion Web site.

This book enables you to
*Understand your data models 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 modelsfrom establishing naming guidelines through implementing business rules and constraints
*Use SQL Servers unique indexing capabilities, and overcome their limitations
*Create abstraction layers that enhance security, extensibility, and flexibility

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