Journal Article for DKE Accepted

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.

Summary

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.

Published by

Lars Rönnbäck

Co-developer of the Anchor Modeling technique. Programmer of the online modeling tool. Site maintainer. Presenter and trainer.

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