Improving the Quality Validation of the ETL Process using Test Automation.
Daniel Gunnar Staegemann, Matthias Volk, Naoum Jamous, R.S. Vinoth Venkatesh, Stefan Willi Hart, Sascha Bosse, Klaus Turowski · Journal of the Association for Information Systems · 2020
Due to the growing amount of data that are produced, the concept of big data analytics gained plenty of interest among researchers and practitioners. However, there are many challenges related to its use. One of those is the data storing and subsequently the corresponding extraction of required data. Since this process is prone to error, it requires thorough quality validation. To facilitate this procedure, an automated approach is proposed, using the example of a financial institution, replacing its formerly applied manual method. As a result, the time needed for a complete factory acceptance test could be reduced by 39 percent.