Though designing a data warehouse requires techniques completely different from those adopted for operational systems, no significant effort has been made so far to develop a comp...
Data warehouses are complex systems that have to deliver highly-aggregated, high quality data from heterogeneous sources to decision makers. Due to the dynamic change in the requir...
Manfred A. Jeusfeld, Christoph Quix, Matthias Jark...
Defining data placement and allocation in the disk subsystem can have a significant impact on data warehouse performance. However, our experiences with data warehouse implementatio...
Data warehouse modeling is a complex task, which involves knowledge of business processes of the domain of discourse, understanding the structural and behavioral system's con...
Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical da...