Impact Analysis for On-Demand Data Warehousing Evolution.
Duong Thi Anh Hoang · Advances in Databases and Information Systems · 2011
On-demand data warehousing systems (DWHs) naturally imply a high quality of customized solutions for each individual, where customized business requirements can be facilitated. Therefore, on-demand DWHs have to increasingly deal with the autonomous data changes and schema changes due to continually evolving users' requirements. In fact, DWHs have to be update according to different types of evolution of information sources to reflect the real world subject to analysis. The thesis outlines our investigation focusing on a methodology that can cope with the variety of business requirements in the context of on-demand DWHs. We discuss our plans to address these problems bridging the semantic gap between the requirements, the components and the architecture design of current DWH systems. Overcoming these challenges will facilitate effective tracing of requirements which implies the impacts upon the architectural design and thus increase usability of DWHs for end users.