A cube model approach for Data warehouse
Zuyi Chen, Taixiang Zhao · 2015
The grain preservation feature guarantees that the translated multidimensional model will maintain cohesive granularity among the entities.Many data warehouse systems have been developed recently, yet data warehouse practice is not sufficiently sophisticated for practical usage.Most data warehouse systems have some limitations in terms of flexibility, efficiency, and scalability.In particular, the sizes of these data warehouses are forever growing and becoming overloaded with data, a scenario that leads to difficulties in data maintenance and data analysis.This research focuses on data-information integration between data cubes.To deal with the handling of increasing data volume in data warehouses, we discovered important inter-relationships that hold among data cubes, that facilitate information integration, and that prevent the loss of data semantics.