Research problems in data warehousing
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
An overview and classification of mediated query systems
ACM SIGMOD Record
Conceptual modeling for ETL processes
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
Building Citizen Trust towards E-Government Services: Do High Quality Websites Matter?
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Information integration in the enterprise
Communications of the ACM - Enterprise information integration: and other tools for merging data
Scientific Cloud Computing: Early Definition and Experience
HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
Semi-materialized framework: a hybrid approach to data integration
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
A Business Intelligence Methodology for E-government Reverse Auctions
CEC '09 Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing
Public Sector Clouds Beginning to Blossom: Efficiency, New Culture Trumping Security Fears
IEEE Internet Computing
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The emerging trend of using Business Intelligence (BI)-Applications in public organizations to support the decision makers belongs to the backend oriented e-government activities. A prerequisite for BI is data integration, which is still an expensive task. At the same time, public organizations are forced to save money, due to shrinking budgets. As cloud computing is marketed as key technology to gain higher efficiency and generate cost savings, we analyze in this paper its possible impact on data integration in the public sector. We describe first the conventional approaches of virtual and materialized data integration. Using technical and E-government specific criteria, the advantages and disadvantages of the two different approaches are shown. Afterwards, the paper scrutinizes the suitability of virtual and materialized data integration in the cloud by proposing and analyzing technical architectures that implement the two different methods. These architectural propositions are then discussed applying the criteria from the precedent chapter. Finally, we summarize our results and explain how we want to proceed with our further research.