NDLI: Toward Developing Data Warehousing Process Standards: An Ontology-Based Review of Existing Methodologies

Content Provider	IEEE Xplore Digital Library
Author	Sen, A. Sinha, A.P.
Copyright Year	1998
Abstract	A data warehouse is developed using a data warehousing process (DWP) methodology. Currently, there are a large number of methodologies available in the data warehousing market. The reason for this is the lack of any centralized attempts at creating platform-independent DWP standards. For the development of such standards, it is very important that we first examine the current practices being followed by the data warehousing industry. In this study, we review 30 commercial data warehousing methodologies and analyze the standard practices they have adopted with respect to DWP. To perform the analysis, we first develop an ontological model of DWP based on a thorough review of the literature and inputs from experts in the data warehousing field. The ontological model consists of two hierarchies: a composition hierarchy which shows the decomposition of DWP tasks such as system development, extract, transform, and load (ETL), and end-user application design; and a classification hierarchy which specifies the alternative methods or techniques available for performing the tasks. We next apply hierarchical cluster analysis to group the methodologies that share a common set of standards. Our study provides valuable insights into the prevailing standard practices for different DWP tasks-system development, requirements analysis, architecture design, data modeling, ETL, data extraction, and end-user application design-and identifies important directions for future research on DWP standardization
Starting Page	17
Ending Page	31
Page Count	15
File Size	584470
File Format	PDF
ISSN	10946977
Volume Number	37
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Warehousing Standards development Ontologies Data warehouses Data mining Performance analysis Data analysis Standardization Decision making Information technology system development Data warehouse data warehousing process (DWP) ontology standards
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Human-Computer Interaction Computer Science Applications Software

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