Investigating Alternating data Architectures in Data Warehousing

摘要

This research-in progress paper investigates alternating data architectures in data warehousing. Alternating data architecture is a term describing the engagement of multidimensional and relational data architectures in data warehousing. Multidimensional and relational data architectures define the implementation of most data warehouses in industry; a discourse is taking place regarding the appropriateness of one methodology over the over in the absence of formalised standards for implementing data warehouses. This paper examines current approaches in data warehousing and proposes a classification framework for data architectures in data warehousing. The paper further examines decision theories, their prescriptions and provides analysis of the unfolding decision factors contributing to alternating data architectures in data warehousing.