Non Functional Requirement Classification for Service-Oriented Data Warehousing

Recently, Data Warehouse has proven to be a powerful technology for the integration of heterogeneous data into a multidimensional repository for decision-support analysis. The complex ETL (extraction, transformation and loading) process and the aggregation-intensive queries are affected by a sequence of domain specific NFRs (Non Functional Requirement). This advocates the use of service oriented NFR approach for building a data warehouse specification. However, the specification and classification of service oriented systems and service oriented data warehousing (DW) systems have not been addressed to the appropriate level as attempted for non service-oriented systems. In this paper, we propose a new framework for the classification of NFR (Nonfunctional requirements) with respect to engineering service oriented and service oriented data warehousing systems. In addition, this proposed classification is supposed to be of significance in terms of NFRs classification for service engineering and service-oriented DW engineering.