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Microsoft SQL Azure Enterprise Application Development

You're reading from   Microsoft SQL Azure Enterprise Application Development Moving business applications and data to the cloud can be a smooth operation when you use this practical guide. Learn to make the most of SQL Azure and acquire the knowledge to build enterprise-ready applications.

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Product type Paperback
Published in Dec 2010
Publisher Packt
ISBN-13 9781849680806
Length 420 pages
Edition 1st Edition
Languages
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Author (1):
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Jayaram Krishnaswamy Jayaram Krishnaswamy
Author Profile Icon Jayaram Krishnaswamy
Jayaram Krishnaswamy
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Table of Contents (17) Chapters Close

Microsoft SQL Azure: Enterprise Application Development
Credits
About the Author
1. Acknowledgement
About the Reviewers
www.PacktPub.com
2. Preface
1. Cloud Computing and Microsoft Azure Services Platform FREE CHAPTER 2. SQL Azure Services 3. Working with SQL Azure Databases from Visual Studio 2008 4. SQL Azure Tools 5. Populating SQL Azure Databases 6. SSIS and SSRS Applications Using SQL Azure 7. Working with Windows Azure Hosting 8. Database Applications on Windows Azure Platform Accessing SQL Server Databases 9. Synchronizing SQL Azure 10. Recent Developments

Microsoft data access technologies


There are two ways to interact with data using Visual Studio, either by designing an application using datasets and data adapters, or by performing direct operations on the data source, in this case the SQL Azure database. When and why you use one or the other depends on the situation you are trying to address. In situations where you are performing a database lookup, creating and modifying database structures, such as tables, views, stored procedures, or executing queries to get a single aggregate value, and so on, you directly interact with the database. This is because if you are creating or modifying database objects, you obviously cannot use datasets. On the other hand, if you are trying to access the data on the SQL Azure server from the web, you will be connecting using HTTP/HTTPS or REST-based technologies and will be using datasets and data adapters. The SQL Azure architecture accommodates both types of interaction. In this chapter, we will be...

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