Development of Data Warehouse Conceptual Models: Method Engineering Approach

Development of Data Warehouse Conceptual Models: Method Engineering Approach

Laila Niedrite, Maris Solodovnikova Treimanis, Liga Grundmane
ISBN13: 9781605662329|ISBN10: 1605662321|EISBN13: 9781605662336
DOI: 10.4018/978-1-60566-232-9.ch001
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MLA

Niedrite, Laila, et al. "Development of Data Warehouse Conceptual Models: Method Engineering Approach." Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics, edited by David Taniar, IGI Global, 2009, pp. 1-23. https://doi.org/10.4018/978-1-60566-232-9.ch001

APA

Niedrite, L., Treimanis, M. S., & Grundmane, L. (2009). Development of Data Warehouse Conceptual Models: Method Engineering Approach. In D. Taniar (Ed.), Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics (pp. 1-23). IGI Global. https://doi.org/10.4018/978-1-60566-232-9.ch001

Chicago

Niedrite, Laila, Maris Solodovnikova Treimanis, and Liga Grundmane. "Development of Data Warehouse Conceptual Models: Method Engineering Approach." In Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics, edited by David Taniar, 1-23. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-232-9.ch001

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Abstract

There are many methods in the area of data warehousing to define requirements for the development of the most appropriate conceptual model of a data warehouse. There is no universal consensus about the best method, nor are there accepted standards for the conceptual modeling of data warehouses. Only few conceptual models have formally described methods how to get these models. Therefore, problems arise when in a particular data warehousing project, an appropriate development approach, and a corresponding method for the requirements elicitation, should be chosen and applied. Sometimes it is also necessary not only to use the existing methods, but also to provide new methods that are usable in particular development situations. It is necessary to represent these new methods formally, to ensure the appropriate usage of these methods in similar situations in the future. It is also necessary to define the contingency factors, which describe the situation where the method is usable.This chapter represents the usage of method engineering approach for the development of conceptual models of data warehouses. A set of contingency factors that determine the choice between the usage of an existing method and the necessity to develop a new one is defined. Three case studies are presented. Three new methods: userdriven, data-driven, and goal-driven are developed according to the situation in the particular projects and using the method engineering approach.

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