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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

Merging sharded data


One of the major concerns in using SQL Azure is the security of data such as credit card numbers, Social Security Numbers, salaries, bonuses, and so on. The degree to which data needs to be protected is to be determined by each business entity but generally, on-site data is more secure than data stored in the cloud (perhaps in the opinion of enterprises).

We start off with this scenario: The fictitious company SecureAce wants to place one of their employee tables on SQL Azure, but they do not want to keep any sensitive information such as employee salaries. However, from time to time they need to generate reports of their employees and salaries to the management.

The solution to this scenario is divided in two parts. In the first part, the on-site data in the employee table is partitioned in such a way that the sensitive information stays on-site and the larger, non-sensitive data is stored on SQL Azure. In the second part, SSIS is used to bring the two pieces of data...

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