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Data warehouse testing

During the development of the data warehouse (DW), too much data is transformed, integrated, structured, cleansed, and grouped in a single structure that is the DW. These various types of changes could lead to data corruption or data manipulation. Therefore, DW testing is a very critical stage in the DW development process.
 A number of attempts were made to describe how the testing process should take place in the DW environment. In this paper, I will state briefly these testing approaches, and then a proposed matrix will be used to evaluate and compare these approaches. Afterwards, I will highlight the weakness points that exist in the available DW testing approaches. Finally, I will describe how I will fill the gap in the DW testing in my PhD by developing a DW Testing Framework presenting briefly its architecture. Then, I will state the scope of work that I am planning to address and what type of limitations that exist in this area that I am expecting to experience. In the end, I will conclude my work and state possible future work in the field of DW testing.