* 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.
* Describes all new SQL Server 2005 features related to physical database design and provides completely new chapters on designing for fast data access, and exploiting .NET code in the database for optimum distribution of application logic.
* An excellent foundation for MCAD/MCSE/MCDBA Database Design and Implementation exam.
* Deep experience and advice, along with many tips or tricks, from an MVP lead author with over ten years of experience with SQL Server.
Autorentext
Kurt Windisch is a senior technical specialist with Levi, Ray & Shoup, Inc., a global provider of technology solutions with headquarters in Springfield, Illinois. He has more than 15 years of experience in IT, and is a database administrator and technical architect for the internal IT department at LRS. He spent five years serving on the board of directors for PASS, has written for several SQL Server magazines, and has presented at conferences internationally on the topic of database programming with SQL Server.
Zusammenfassung
Pro SQL Server 2005 Database Design and Optimization will teach you effective strategies for designing proper databases. It covers 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.
The authors also describe how to optimize and secure access to this data, covering indexing strategies, SQL design and optimization, and strategies for increased scalability to support large numbers of concurrent users. They provide in-depth advice on optimal code distribution in SQL Server 2005 applications, in the wake of innovations to be able to use .NET code in the database itself. This essential book will ensure that projects have a well-designed database and secure, optimized data access strategies right from the start.
Inhalt
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.