Pro SQL Server 2005 Database Design and Optimization

* An essential book for new and migration projects for SQL Server 2005: will ensure that that such projects have a well-designed database and secure, optimized data access strategies right from the start.

"This book teaches the SQL Server database professional effective strategies for designing proper databases, covering everything from how to gather business requirements, to logical data modeling, and normalization. It then shows you how to implement your design on SQL Server 2005.However, this new fully-revised edition does not stop there. Having established an understanding of the process of designing and implementing SQL Server 2005 databases, it then provides completely new material describing how to optimize and secure access to this data, covering indexing strategies, SQL design and optimization as well as strategies for increased scalability to support large numbers of concurrent users. It also provides in-depth advice on optimal code distribution in SQL Server 2005 applications, in light of innovations such as the ability to use .NET code in the database itself (see SQL Server 2005 Assemblies Revealed, Apress, ISBN: 1-59059-412-6).The advent of SQL Server 2005 is highly anticipated and should result in a very substantial number of new and migration projects. This book will make sure that such projects have a well-designed database and secure, optimized data access strategies right from the start. TOC:Relational Database Introduction.- Discovery of Objects to be modeled.- Data Modeling.- Basic Normalization.- Advanced Normalization.- Implementing Physical Tables.- Maintaining Data Integrity.- Securing access to the data.- Index design strategies.- Designing Optimal SQL.- Implementing for Concurrency.- Architecture Considerations (Kurt Windisch).- Cross Platform Deployment (Kevin Kline).- Codd's Laws.- Intrinsic Datatype reference.- Case Study."

to Database Concepts.- Data Modeling.- Conceptual Data Modeling.- The Normalization Process.- Implementing the Base Table Structures.- Protecting the Integrity of Your Data.- Securing Access to the Data.- Table Structures and Indexing.- Coding for Concurrency.- Code-Level Architectural Decisions.- Database Interoperability.