Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical da...
— The amount of data stored in data warehouses grows very quickly so that they can get saturated. To overcome this problem, we propose a language for specifying forgetting functi...
This paper challenges the currently popular "Data Warehouse is a Special Animal" philosophy and advocates that practitioners adopt a more conservative "Data Warehou...
Abstract. Data warehouse architectural choices and optimization techniques are critical to decision support query performance. To facilitate these choices, the performance of the d...
This presentation will discuss several database technology challenges that are faced when building a data warehouse. It will touch on the challenges posed by high capacity drives ...