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starER: A Conceptual Model for Data Warehouse Design.

Nectaria Tryfona, Frank Busborg, Jens G. Borch Christiansen: starER: A Conceptual Model for Data Warehouse Design. DOLAP 1999: 3-8
@inproceedings{DBLP:conf/dolap/TryfonaBC99,
  author    = {Nectaria Tryfona and
               Frank Busborg and
               Jens G. Borch Christiansen},
  title     = {starER: A Conceptual Model for Data Warehouse Design},
  booktitle = {DOLAP '99, ACM Second International Workshop on Data Warehousing
               and OLAP, November 6, 1999, Kansas City, Missouri, USA, Proceedings},
  publisher = {ACM},
  year      = {1999},
  pages     = {3-8},
  ee        = {db/conf/dolap/TryfonaBC99.html, http://doi.acm.org/10.1145/319757.319776},
  crossref  = {DBLP:conf/dolap/99},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Modeling data warehouses is a complex task focusing, very often, into internal structures and implementation issues. In this paper we argue that, in order to accurately reflect the users requirements into an error-free, understandable, and easily extendable data warehouse schema, special attention should be paid at the conceptual modeling phase. Based on a real mortgage business warehouse environment, we present a set of user modeling requirements and we discuss the involved concepts. Understanding the semantics of these concepts, allow us to build a conceptual model - namely, the starER model - for their efficient handling. More specifically, the starER model combines the star structure, which is dominant in data warehouses, with the semantically rich constructs of the ER model; special types of relationships have been further added to support hierarchies. We present an evaluation of the starER model as well as a comparison of the proposed model with other existing models, pointing out differences and similarities. Examples from a mortgage data warehouse environment, in which starER is tested, reveal the ease of understanding of the model, as well as the efficiency in representing complex information at the semantic level.

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DOLAP '99, ACM Second International Workshop on Data Warehousing and OLAP, November 6, 1999, Kansas City, Missouri, USA, Proceedings. ACM 1999
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