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ABSTRACT
This paper challenges the currently popular "Data Warehouse is a Special Animal" philosophy and advocates that practitioners adopt a more conservative "Data Warehouse=Database" philosophy. The primary focus is the relevancy of Multi-Dimensional logical schemas. After enumerating the advantages of such schemas, a number of caveats to the presumed advantages are identified. The paper concludes with guidelines and commentary on implications for data warehouse design methodologies.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Hellerstein, Stonebraker, and Caccia, "Independent, Open Enterprise Data Integration," Bulletin of IEEE Committee on Data Engineering, 1999.
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Matthias Jarke , Maurizio Lenzerini , Yannis Vassiliou , Y. Vassiliou , M. Lenzerini , P. Vassiliadis , Panos Vassiliadis, Fundamentals of Data Warehouses, Springer-Verlag New York, Inc., Secaucus, NJ, 2001
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Kimball, R., <u>The Data Warehouse Toolkit</u>, Wiley, 1996.
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Kimball and Ross, <u>The Data Warehouse Toolkit (2nd ed.)</u>, Wiley, 2002.
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Spencer, T. and Loukas, T., "From Star to Snowflake to ERD: Comparing Data Warehouse Design Approaches," Enterprise Systems Journal, 10/99.
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A longer version of this paper, with a short case study, can be obtained at www.rh.edu/~martyn/warehouse.
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