Pro SQL Server 2008 Relational Database Design and Implementation

Häftad, Engelska, 2008

550 kr

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Beskrivning

Learn effective and scalable database design techniques in a SQL Server environment. Pro SQL Server 2008 Relational Database Design and Implementation covers everything from design logic that business users will understand, all the way to the physical implementation of the design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, authors Louis Davidson, Kevin Kline, Scott Klein, and Kurt Windisch show how to 'get it right' in SQL Server database design and lay a solid groundwork for the future use of valuable business data.Solid foundation in best practices and relational theory Maximize SQL Server features to enhance security, performance, scalability Thorough treatment from conceptual design to an effective, physical implementation

Produktinformation

Utgivningsdatum:2008-08-21
Mått:191 x 235 x 36 mm
Vikt:1 248 g
Format:Häftad
Språk:Engelska
Antal sidor:680
Förlag:APress
ISBN:9781430208662

Utforska kategorier

Databaser inom Data och IT
Programmeringsböcker inom Data och IT

Mer om författaren

Louis Davidson has been in the IT industry for more than 15 years as a corporate database developer and architect. He has spent the majority of his career working with Microsoft SQL Server, beginning from the early days of version 1.0. He has a bachelor s degree from the University of Tennessee at Chattanooga in computer science, with a minor in mathematics. Louis is the data architect for Compass Technology (Compass.net) in Chesapeake, Virginia, leading database development on their suite of nonprofit oriented CRM products, built on the Microsoft CRM platform and SQL Server technologies.

Innehållsförteckning

to Database Concepts.- The Language of Data Modeling.- Conceptual Data Modeling.- The Normalization Process.- Implementing the Base Table Structures.- Protecting the Integrity of Your Data.- Patterns and Query Techniques.- Securing Access to the Data.- Table Structures and Indexing.- Coding for Concurrency.- Considering Data Access Strategies.

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