In system testing, the whole data warehouse application is tested together. The components are tested to ensure that they work properly together, that they do not cause system resource bottlenecks, and so on. Again, because of the size of a data warehouse system, it is usually possible to perform only minimal system testing before the test plan proper can be enacted. So any pre-plan system testing is normally carried out on a radically cut down version of the system environment. Such tests are useful only in highlighting inconsistencies in the data warehouse components, and will give no real indication of performance or resource issues.
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Since system testing can easily be confused with user acceptance testing, it is important to understand what exactly system testing is. System testing is the first time where bought-in products such as management and query tools are tested in the full system environment. This will often be the first real indication of both the usefulness and in particular the overheads of such tools. Isolated testing of these products generally gives no indication of their effects on a system.
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System testing is usually confused with user acceptance testing, which will also tends to be a complete test of the data warehouse application. In user acceptance testing, as the name implies, the users conduct their own tests on the system. The user acceptance testing for a data warehouse is no different from that for any other application.
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