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Dealing with Slow-Evolving Fact: A Case Study on Inventory Data Warehousing.

Chung-Min Chen, Munir Cochinwala, Elsa Yueh: Dealing with Slow-Evolving Fact: A Case Study on Inventory Data Warehousing. DOLAP 1999: 22-29
@inproceedings{DBLP:conf/dolap/ChenCY99,
  author    = {Chung-Min Chen and
               Munir Cochinwala and
               Elsa Yueh},
  title     = {Dealing with Slow-Evolving Fact: A Case Study on Inventory Data
               Warehousing},
  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     = {22-29},
  ee        = {db/conf/dolap/ChenCY99.html, http://doi.acm.org/10.1145/319757.319783},
  crossref  = {DBLP:conf/dolap/99},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Data Warehousing for INventory management (DWIN) is a production project at Telcordia aimed at providing telecommunications service providers with decision support functions for inventory control and monitoring. In this paper, we report some interesting issues related to the design of the data warehouse. Specifically, we will discuss the issues of slow-evolving fact, transaction-oriented fact table, and large dimensions. We also propose the concept of virtual data cubes and show its usefulness. We address these issues through a data mart case study and present benchmarking results. Finally, based on the experiences learned, we discuss potential research issues that may benefit the data warehousing and OLAP practice.

Copyright © 1999 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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