Pro SQL Server 2005 Database Design and Optimization

Häftad, Engelska, 2006

566 kr

Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2006-05-01
Mått:178 x 235 x 37 mm
Vikt:1 157 g
Format:Häftad
Språk:Engelska
Antal sidor:672
Förlag:APress
ISBN:9781590595299

Utforska kategorier

Databaser inom Data och IT
Programmeringsböcker inom Data och IT

Mer om författaren

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.

Innehållsförteckning

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.