Designing data marts for data warehouses
ACM Transactions on Software Engineering and Methodology (TOSEM)
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SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
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ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
A Prototype Model for Data Warehouse Security Based on Metadata
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
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HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
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Information Systems
Metrics for data warehouse conceptual models understandability
Information and Software Technology
Referential integrity quality metrics
Decision Support Systems
GRAnD: A goal-oriented approach to requirement analysis in data warehouses
Decision Support Systems
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ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Data Warehouse Design: Modern Principles and Methodologies
Data Warehouse Design: Modern Principles and Methodologies
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DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Towards benchmarking stream data warehouses
Proceedings of the fifteenth international workshop on Data warehousing and OLAP
Towards Comparative Mining of Web Document Objects with NFA: WebOMiner System
International Journal of Data Warehousing and Mining
Proceedings of the Joint EDBT/ICDT 2013 Workshops
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Testing is an essential part of the design life-cycle of a software product. Although most phases of data warehouse design have received considerable attention in the literature, not much research has been conducted concerning data warehouse testing. In this paper, the authors introduce a number of data mart-specific testing activities, classify them in terms of what is tested and how it is tested, and show how they can be framed within a reference design method to devise a comprehensive and scalable approach. Finally, the authors discuss some practical evidences emerging from a real case study.