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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

Data caching


Data caching is used to improve the performance of applications. The performance gains are achieved by creating a copy of the master data and storing it in a location that the consumer can access faster than the original data (for example, holding it in the memory rather than fetching it from a database). Caching is typically done on the data that is accessed frequently (such as lookup tables) or is expensive to obtain (long request times, data calculations, and so on.)

Using data caching can bring a number of benefits to the architecture of your application as follows:

  • Quicker response times: The requests from the clients can be processed quicker, as the required data can be retrieved quicker.

  • Reduction of requests to data source: Sending fewer requests to your SQL Azure instance will allow your application to handle more concurrent users.

  • Reduction of data processing: There is no need to use resources to calculate values on the fly as results in each Azure instance are able...

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