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Multidimensional modeling requires specialized design techniques. Though a lot has been written about how a data warehouse should be designed, there is no consensus on a design method yet. This paper follows from a wide discussion that took place in Dagstuhl, during the Perspectives Workshop "Data Warehousing at the Crossroads", and is aimed at outlining(More)
"On-Line Analytical Processing" tools are used to extract information from the "Data Warehouse" in order to help in the decision making process. These tools are based on multidimensional concepts, i.e. facts and dimensions. In this paper we study the meaning of facts, and the dependencies in multidimensional data. This study is used to find relationships(More)
At the early stages of a data warehouse design project, the main objective is to collect the business requirements and needs, and translate them into an appropriate conceptual, multidimensional design. Typically, this task is performed manually, through a series of interviews involving two different parties: the business analysts and technical designers.(More)
This paper brings together two research areas, i.e. " Data Warehouses " and " Temporal Databases " , involving representation of time. Looking at temporal aspects within a data warehouse, more similarities than differences between temporal databases and data warehouses have been found. The first closeness between these areas consists in the possibility of a(More)
The input data of the corporate data warehouse is provided by the data sources, that are integrated. In the temporal database research area, a bitemporal database is a database supporting valid time and transaction time. Valid time is the time when the fact is true in the modeled reality, while transaction time is the time when the fact is stored in the(More)