Data Warehouses (DWs) use an omnipresent time dimension for keeping track of changes in measure values. However, this dimension cannot be used to model changes in other dimensions...
In enterprise data warehouses, different users in different business units often define their own application specific dimension hierarchies tailor made to their reporting and b...
: Data warehouse projects, today, are in an ambivalent situation. On the one hand, data warehouses are critical for a company's success and various methodological and technolo...
: Integration of multiple data sources is becoming increasingly important for enterprises that cooperate closely with their partners for e-commerce. OLAP enables analysts and decis...
Research and products for the integration of heterogeneous legacy source databases in data warehousing have addressed numerous data quality problems in or between the sources. Suc...
Matthias Jarke, Christoph Quix, Guido Blees, Dirk ...