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Taxonomy of Different Data Warehouse Architectures & Need for Optimized Data Warehouse

초록

영어

Different architectures have been proposed for Data Warehouse. This paper gives a survey of the various architecture techniques used and justifies why there is still a need for optimized data warehouse architecture which overcomes the limitations or challenges of the existing techniques. Survey includes OLAM architecture (combination of Data mining and OLAP), complex Data Warehouse architecture, Real Time storage Architecture, Data Ware House Architecture through view point of information system and Model Driven approach for Data Warehouse. Ultimate goal of this paper is to propose an architecture which is fault tolerant, has less resource consumption and user friendly.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. Future Work
 4. Conclusion
 References

저자정보

  • Muhammad Arif Faculty of Computer Science and Information Technology, University of Malaya 50603 Kuala Lumpur, Malaysia, Computer Science Department, Comsats Institute of Information and Technology Islamabad Pakistan
  • Ghulam Mujtaba Faculty of Computer Science and Information Technology, University of Malaya 50603 Kuala Lumpur, Malaysia

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