Practical Database Programming with Visual Basic.NET

Bai, Ying

ISBN 10: 0521885183 / ISBN 13: 9780521885188

Published by Cambridge University Press, 2008

About this Item

This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Seller Inventory # ABNR-94448

Bibliographic Details

Title: Practical Database Programming with Visual ...

Publisher: Cambridge University Press

Publication Date: 2008

Binding: Hardcover

Condition: New

About this title

Synopsis:

Unlike most other database programming books, which discuss and present database programming techniques through huge blocks of programming code, this book uses a unique writing style to show readers how to develop professional and practical database programs using Visual Basic.NET 2005 Design Tools and Wizards related to ADO.NET 2.0, and to apply codes that are auto-generated by using Wizards. Avoiding overly large blocks of code, the book shows a simple and easy way to create database programs and enable the reader to build professional and practical databases more efficiently. In addition to Design Tools and Wizards, the runtime object method is also discussed and analyzed to allow users to design and implement more sophisticated data-driven applications with complicated coding techniques. Three popular database systems - Microsoft Access, SQL Server 2005, and Oracle Database 10g Express Edition (XE) - are discussed in detail, with practical examples and sample projects. This book will attract college students, programmers, and software engineers alike. Sample code and additional exercise questions for students, as well as solutions and lecture slides for instructors are available via the web (www.cambridge.org/9780521712354).

Book Description:

This book explains how to develop professional and practical database programs in Visual Basic 2005 by using two methods: Visual Basic.NET 2005 Design Tools and Wizards, and runtime object methods. Both methods are discussed and analyzed with practical sample projects to allow users to design and implement data-driven applications with three different databases.