The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
A Method for Demand-Driven Information Requirements Analysis in Data Warehousing Projects
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 8 - Volume 8
A UML-based data warehouse design method
Decision Support Systems
Automating multidimensional design from ontologies
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
GRAnD: A goal-oriented approach to requirement analysis in data warehouses
Decision Support Systems
ER'07 Proceedings of the 26th international conference on Conceptual modeling
Differentiated multiple aggregations in multidimensional databases
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
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In the past, several approaches have been devised to semiautomate the multidimensional design (MDD) of Data Warehouse (DW) projects. Such approaches highly contribute to more expertiseindependent and deterministic MDD results. Among them, only the Dimensional Templates Approach (DTA) focuses on solving the critical resource containment problems of DW prototypes. Originally, the DTA allows solely the generation of basic MDDs. In this paper, we depict an extension to address complex MDD issues. These include (i) date/time hierarchies, (ii) many-to-many relationships, (iii) hierarchically structured data and (iv) coverage facts. The proposed enhancements, including a rebuilt generation algorithm, allow more accurate and broadening results than the original DTA. Throughout the paper, references are made to a real case study to which the improved DTA has been applied using two developed prototype tools.