Data warehouse design for mobile environment

Analysis and design are very important roles in Data Warehouse (DW) system development and forms as a backbone of any successful or failure of the DWproject. The emergence trends of ubiquitous-based application required DW system to be implemented in the mobile environment.However, current analysis and design approaches are based on existing DW environments that focusing on the deployment of DW system in static client-based applications. This will create the limitations on user accessed and reduced the used of analytical information by the decision makers.Consequently, this will prolong the adoption of business intelligence (BI) applications to the users and organisations. This research is to suggest an approach for designing the DW and implement the DW system on the mobile environments.A variant dimension modeling technique will be used to enhance the DW modeling in order to accommodate the requirements of mobile characteristics in the DW design

Data warehouse model for mobile-based applications

Analysis and design are very important roles in the Data Warehouse (DW) system development and forms as a backbone of any successful or failure of the DW project.The emerging trends of analytic-based application required the DW system to be implemented in the mobile environment. However, current analysis and design approaches are based on existing DW environments that focusing on the deployment of the DW system in traditional web-based applications.This will create the limitations on user accessed and the used of analytical information by the decision makers. Consequently, this will prolong the adoption of analytic-based applications to the users and organizations.This research aims to suggest an approach for modeling the DW and design the DW system on the mobile environments. A variant dimension of modeling techniques was used to enhance the DW schemas in order to accommodate the requirements of mobile characteristics in the DW design.A proposed mobile DW system was evaluated by expert review, and support the success of mobile DW-based application implementation

Distributed database design for mobile geographical applications

Advanced Traveler Information Systems (ATIS) require e cient information retrieval and updating in a dy-namic environment at di erent geographical scales. ATIS applications are useful in yielding a better utilization of the limited costly transportation arteries and providing value-added traveler information. Many ATIS appli-cations are built on the functionalities provided by Geographical Information Systems (GIS), which often cannot meet extra requirements like real-time response. We investigate GIS-based systems in ATIS and propose a system architecture based on GIS and distributed database technology. Issues on data modeling, data representation, storage and retrieval, data aggregation, and parallel processing of queries are discussed. This paper introduces a distributed system architecture for ATIS based on recent technology � presents new data models for information representation � proposes data shipping for e cient query processing and function shipping in reducing commu-nication overhead � exploits network of computers for solving complex problems more timely � and incorporates privacy protection for sensitive data.