ACM Home Page
Please provide us with feedback. Feedback
Reconsidering Multi-Dimensional schemas
Full text PdfPdf (164 KB)
Source ACM SIGMOD Record archive
Volume 33 ,  Issue 1  (March 2004) table of contents
SECTION: Regular Articles table of contents
Pages: 83 - 88  
Year of Publication: 2004
ISSN:0163-5808
Author
Tim Martyn  Rensselaer at Hartford
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 53,   Citation Count: 3
Additional Information:

abstract   references   cited by  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/974121.974136
What is a DOI?

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.

 
1
2
 
3
Hellerstein, Stonebraker, and Caccia, "Independent, Open Enterprise Data Integration," Bulletin of IEEE Committee on Data Engineering, 1999.
 
4
 
5
Kimball, R., <u>The Data Warehouse Toolkit</u>, Wiley, 1996.
 
6
Kimball and Ross, <u>The Data Warehouse Toolkit (2nd ed.)</u>, Wiley, 2002.
 
7
Spencer, T. and Loukas, T., "From Star to Snowflake to ERD: Comparing Data Warehouse Design Approaches," Enterprise Systems Journal, 10/99.
8
 
9
 
10
A longer version of this paper, with a short case study, can be obtained at www.rh.edu/~martyn/warehouse.