Using Databases with C#

Michael Schmalz

ISBN 10: 1449309984 / ISBN 13: 9781449309985

Verlag: O'Reilly Media, US, 2012

Beschreibung

C# offers developers power, but sometimes getting started with basic tasks - like getting information in and out of databases - is harder than it should be. Using Databases with C# provides a gentle introduction to a common but critical task, helping developers moving from other languages build a firm foundation.

Bestandsnummer des Verkäufers LU-9781449309985

Bibliografische Details

• Titel: Using Databases with C#
• Verlag: O'Reilly Media, US
• Erscheinungsjahr: 2012
• Sprache: Englisch
• ISBN-10: 1449309984
• ISBN-13: 9781449309985
• Einband: Paperback
• Zustand: New

Über diesen Titel

Inhaltsangabe

Working with data and databases in C# certainly can be daunting if you're coming from VB6, VBA, or Access. With this hands-on guide, you'll shorten the learning curve considerably as you master accessing, adding, updating, and deleting data with C#--basic skills you need if you intend to program with this language.

No previous knowledge of C# is necessary. By following the examples in this book, you'll learn how to tackle several database tasks in C#, such as working with SQL Server, building data entry forms, and using data in a web service. The book's code samples will help you get started on your own projects.

• Create a Windows Forms application with a datagrid
• Connect to multiple data sources, including Access and SQL Server
• Add, edit, and update data in a database you choose and design
• Enable users to choose their data source at runtime
• Learn the roles of DataTable, DataView, BindingSource, Filters, and other objects
• Understand where variables are declared and how they impact the code
• Build a simple web service that connects to a database

Über die Autorin bzw. den Autor

Michael Schmalz has worked for a variety of banks, including MBNA, and teaches Excel and Access at Penn State. He currently spends most of his time as a consultant, focused on improving business analysis with desktop and database tools.