期刊
INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING
卷 5, 期 2, 页码 1-23出版社
IGI GLOBAL
DOI: 10.4018/jdwm.2009040101
关键词
Data Warehouse; Multidimensional Database Design; OLAP; Survey
资金
- Ministerio de Ciencia e Innovacion [TIN2008-03863]
Many methodologies have been presented to support the multidimensional design of the data warehouse. First methodologies introduced were requirement-driven but the semantics of a data warehouse require to also consider data sources along the design process. In the following years, data sources gained relevance in multidimensional modeling and gave rise to several data-driven methodologies that automate the data warehouse design process from relational sources. Currently, research on multidimensional modeling is still a hot topic and we have two main research lines. On the one hand, new hybrid automatic methodologies have been introduced proposing to combine data-driven and requirement-driven approaches. On the other hand, new approaches focus on considering other kind of structured data sources that have gained relevance in the last years such as ontologies or XML. In this article we present the most relevant methodologies introduced in the literature and a detailed comparison showing main features of each approach. [Article copies are available for purchase from InfoSci-on-Demand.com]
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