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    <p>Reference : <a href="http://msdn.microsoft.com/en-us/library/ee817646.aspx" rel="nofollow">http://msdn.microsoft.com/en-us/library/ee817646.aspx</a></p> <p>Performance : Caching techniques are commonly used to improve application performance by storing relevant data as close as possible to the data consumer, thus avoiding repetitive data creation, processing, and transportation. For example, storing data that does not change, such as a list of countries, in a cache can improve performance by minimizing data access operations and eliminating the need to recreate the same data for each request.</p> <p>Scalability : The same data, business functionality, and user interface fragments are often required by many users and processes in an application. If this information is processed for each request, valuable resources are wasted recreating the same output. Instead, you can store the results in a cache and reuse them for each request. This improves the scalability of your application because as the user base increases, the demand for server resources for these tasks remains constant. For example, in a Web application the Web server is required to render the user interface for each user request. You can cache the rendered page in the ASP.NET output cache to be used for future requests, freeing resources to be used for other purposes.</p> <p>Caching data can also help scale the resources of your database server. By storing frequently used data in a cache, fewer database requests are made, meaning that more users can be served.</p> <p>Availability : Occasionally the services that provide information to your application may be unavailable. By storing that data in another place, your application may be able to survive system failures such as network latency, Web service problems, or hardware failures. For example, each time a user requests information from your data store, you can return the information and also cache the results, updating the cache on each request. If the data store then becomes unavailable, you can still service requests using the cached data until the data store comes back online.</p>
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    1. PODoes Caching always enhance performance?
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    1. USAmrish Prajapati
    1. USAmrish Prajapati
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    1. COWith all due respect, isn't this just a copy-and-paste answer from here: http://books.google.co.uk/books?id=MEOmjpKLmqYC&pg=PA414&lpg=PA414&dq=%22Performance+:+Caching+techniques+are+commonly+used%22&source=bl&ots=nqFchRBGQH&sig=jdQfh6sIm17he94PhxlattcXeeM&hl=en&sa=X&ei=yR9kUO-jGefW0QWekoH4DQ&ved=0CB4Q6AEwAA#v=onepage&q=%22Performance%20%3A%20Caching%20techniques%20are%20commonly%20used%22&f=false - if you're going to do that, at least reference your source to give credit.
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      1. USPaul Aldred-Bann
    2. COI want to provide best solution. So I do surf on net and provide best solution here. Isnt it make sense ? what you think ?
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      1. USAmrish Prajapati
    3. COYes, around 35% of the paste is relevant to answering the original question.
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Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

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