Applying MDA and universal data models for data warehouse modeling

Business process monitoring provides an invaluable means of an enterprise to adapt to changing conditions. Data warehouse stores the process data which is foundation for business process monitoring applications. Development of such applications by using traditional methods is challenging because of the complexity of integrating business processes and existing information systems. Different modeling approaches have been proposed to overcome every design pitfall of the development of data warehouse systems. On the other hand, model driven architecture is an approach to develop applications from domain-specific models to platform-sensitive models - that bridges the gap between business processes and information technology. Model driven architecture is a standard framework for software development that addresses the complete life cycle of designing, deploying, integrating, and managing applications by using models in software development. Authors propose to use model driven approach for data warehouse development. Also the concept of universal data models was introduced in order to ease data warehouse development by providing standard data objects. This paper introduces the overall concept of applying model driven architecture and universal data models to development process of data warehouse.