In this lecture, Elias Werner introduced computational challenges of big data. In particular Veracity, that characterizes the change and uncertainty in the data. The detection of concept drift is one approach of addressing veracity. Therefore, he explained concept drift based on an illustrative example, highlighted the state-of-the-art in this research field and gave an outlook on future work.