Databases
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    <p>To be fair, there are benefits to this approach that may outweigh the performance concerns, which are admittedly tremendous. An application built this way will have orders of magnitude more latency and may cost several times more in compute resources to execute than an in-process solution.</p> <p>That having been said, in development scenarios where human resources are limited, this may work better. It allows for contractors to be quickly hired on to write new screens or whole new applications very quickly in whatever language suits them. Developers can get up-to-speed faster than a proprietary homegrown solution. No more sa passwords in config files, injection of a custom security layer if required, unified logging and auditing, combining several data stores into one consistent resource. If you have a heterogenous platform, you don't need to write SDKs, they have already been written in many important languages. oData works very well with MS Excel, which is a huge win at many organizations. Depending on your network topology, it might be cheaper and even faster to route out over the internet than to use a leased line if you're in a remote office, or behind a firewall (at a client site doing a demo, for instance).</p> <p>For large datasets, the overhead of the request and packaging becomes less important. For reporting scenarios, for instance. While I have never designed something like this, I can see where it might be useful, depending on your corporate culture and available resources, to consume oData endpoints internally.</p>
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    1. POArguments of using WCF/OData as access layer instead of EF/L2S/nHibernate directly
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    1. USChris McCall
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    1. COIn my world people get fired for taking these advantages. Why? Because development cost are irrelevant COMPARED TO MAINTENANCE COST. Hiring developers to use whatever langauge suits the particular developer is a mainteannice nightmare even during ddevelopment, much worse 2 years down the road. Keep the technology stack under control and THIN, or you end up searching for a guy to speak 10 lagnauges very good to do xcross module maintenance. And sorry, for large datasets the overead is even worse. Try getting 10 million rows over odata. I do that all the time.
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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.

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