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Microsoft Windows Azure Development Cookbook

You're reading from   Microsoft Windows Azure Development Cookbook Realize the full potential of Windows Azure with this superb Cookbook that has over 80 recipes for building advanced, scalable cloud-based services. Simply pick the solutions you need to answer your requirements immediately.

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Product type Paperback
Published in Aug 2011
Publisher Packt
ISBN-13 9781849682220
Length 392 pages
Edition 1st Edition
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Author (1):
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Neil Mackenzie Neil Mackenzie
Author Profile Icon Neil Mackenzie
Neil Mackenzie
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Table of Contents (16) Chapters Close

Microsoft Windows Azure Development Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Controlling Access in the Windows Azure Platform FREE CHAPTER 2. Handling Blobs in Windows Azure 3. Going NoSQL with Windows Azure Tables 4. Disconnecting with Windows Azure Queues 5. Developing Hosted Services for Windows Azure 6. Digging into Windows Azure Diagnostics 7. Managing Hosted Services with the Service Management API 8. Using SQL Azure 9. Looking at the Windows Azure AppFabric Index

Migrating a database to SQL Azure


SQL Azure supports many, but not all the features of Microsoft SQL Server. For example, all SQL Azure tables must have a clustered index as SQL Azure does not support heap tables. Consequently, although it is not difficult to migrate a Microsoft SQL Server database to SQL Azure, some attention must be paid when doing so. This involves identifying non-supported features and modifying the Transact SQL script so that it can run correctly in SQL Azure.

The SQL Azure Migration Wizard is a CodePlex project that can be used to analyse a Microsoft SQL Server database to identify features not supported in SQL Azure. It generates a Transact SQL script that can recreate the database and modifies, to a valid form, any statement not supported by SQL Azure. The SQL Azure Migration Wizard can then migrate the database by applying the script to a SQL Azure database and using bcp, a bulk-copy utility, to copy the data from the Microsoft SQL Server database and upload it to...

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