We are happy to announce that our journal article “Anchor Modeling – Agile Information Modeling in Evolving Data Environments” for the Special Edition Issue of Data & Knowledge Engineering has been accepted for publication. A preprint of the article can be read by clicking here.
Maintaining and evolving data warehouses is a complex, error prone, and time consuming activity. In order to support the design and maintenance of data warehouses, we have developed a novel information modeling technique, called Anchor Modeling. A key benefit of Anchor Modeling is that changes in a data warehouse environment only require extensions, not modifications, to a data warehouse. This makes it possible to iteratively model and apply fragments of a data warehouse, which supports agile ways of working. Furthermore, Anchor Modeling results in databases that in many situations perform substantially better than databases constructed using traditional modeling techniques.