Prof. Felix Naumann : Exploring Change – A New Dimension of Data Analytics

Data and metadata in datasets experience many different kinds of change.
Values are inserted, deleted or updated; rows appear and disappear; columns
are added or repurposed, etc. In such a dynamic situation, users might have
many questions related to changes in the dataset, for instance which parts of
the data are trustworthy and which are not? Users will wonder: How many
changes have there been in the recent minutes, days or years? What kind of
changes were made at which points of time? How dirty is the data? Is data
cleansing required? ....