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Microsoft Silverlight 5 and Windows Azure Enterprise Integration

You're reading from   Microsoft Silverlight 5 and Windows Azure Enterprise Integration A step-by-step guide to creating and running scalable Silverlight Enterprise Applications on the Windows Azure platform with this book and ebook

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Product type Paperback
Published in Mar 2012
Publisher Packt
ISBN-13 9781849683128
Length 304 pages
Edition 1st Edition
Languages
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Author (1):
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David Burela David Burela
Author Profile Icon David Burela
David Burela
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Table of Contents (19) Chapters Close

Microsoft Silverlight 5 and Windows Azure Enterprise Integration
Credits
About the Author
1. Acknowledgement
About the Reviewers
2. www.PacktPub.com
3. Preface
1. Getting Started 2. Introduction to Windows Azure FREE CHAPTER 3. Hosting Silverlight Applications in Azure 4. Using Azure Queues with Silverlight 5. Accessing Azure Blob Storage from Silverlight 6. Storing Data in Azure Table Storage from Silverlight 7. Relational Data with SQL Azure and Entity Framework 8. RIA Services and SQL Azure 9. Exposing OData to Silverlight Applications 10. Web-scale Considerations 11. Application Authentication 12. Using Azure AppFabric Caching to Improve Performance

Azure Table storage versus SQL Azure


When someone is first introduced to the Windows Azure Platform, it is very common to hear the question asked, Should I be using Azure Tables or SQL Azure? The largest difference between the two offerings is in the way each of them stores the data:

  • Azure Table storage: It is built on top of the Azure Storage platform. It comprises flexible or schema-less entities. There is no referential integrity between the tables, and no custom indexes. It can scale massive amounts of data due to the partition key.

  • SQL Azure: It is an SQL Server that has been configured to be hosted on top of the Windows Azure in a high availability mode. It comprises standard SQL Tables with indexes and referential integrity. It may not scale as far as Azure Table storage.

A table within the Azure Table storage can be thought of as a single spreadsheet. In a spreadsheet, all the data is stored inside it, separate and distinct from any other data, as there is no referential integrity...

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