Abstract
Conventional data warehouse (DW) due to structure of its schema and contents is unable to: a) support any dynamics in its source structure and contents b) unable to support hidden-subjects c) unable to provide data on-the-fly i.e. real-time data and populate hidden-subjects on their evolution. To handle these problems the concept of virtualization in DW is floated here. In this study we have proposed architecture of virtualization approach. According to this approach, conventional DW is replaced by: i) a storage component called data-store ii) a Synthetic warehouse (SWH). Data-store is a non-subjective, content consistent, time-variant and integrated storage. On the other hand, SWH is only a structure, with no instances attached. It acts as a schema source for analytical processing and is mapped to its data-store. Subjective conversion is expected to be done on-the-fly. We are hopeful that this architecture will qualify all the evaluation parameters of: i) scalability ii) hidden-subjective support iii) source dynamics.
Keywords
- Data Warehouse
- virtualization
- on-the-fly integration
- architecture
- synthetic warehouse.
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References
Paulraj Ponniah.Data Warehousing Fundamentals, A Comprehensive Guide for IT Professional. Wiley Publishers, 1998. ISBN: 0471412546
Jarke, M. Lenzerini, M. Vallilious, Y. Vassiliadis. Fundamentals of Data Warehouses.Springer-Verlag,, 2000.
Bebel, B. Eder, J. Koncilia, C. Morzy, T. Wrembel, R. Creation and Management of Versions in Multiversion Data Warehouse. Proceeding of , 2004.
Sjoberg, D. Quantifying Schema Evolution.Software Technology 35, 1, Page 35-54, 1993.
Blaschaka, M.Sapia, C.Hofling, G.: On Schema Evolution in Multidimensional Databases.Proceedings of DaWak99, Italy, 1999.
Golfarelli, M. Rizzi, S. Cella, I. Beyond Data Warehousing: What’s Next in Business Intelligence?Proceedings of 7th International Workshop on Data Warehousing & OLAP, 2004
Rundensteiner, E. Koeller, A. Zhang, X. Maintaining Data Warehouses over Changing Information Sources. Communication of the ACM, Vol. 3, No 6, 2000.
Pasha,M.A. Nasir,J.A, Shahzad,M.K Semi-Star Modeling Schema for managing Data Warehouse Consistency. Proceedings of IEEE-ACM-NCET, Pakistan, 2004.
Eder, J. Koncilia, C. Changes of Dimension Data in Temporal Data Warehouses. Proceedings of DaWak, 2001.
Chamoni, P. Stock, S. Temporal Structures in Data Warehousing. Proceedings of the Data Warehousing and Knowledge Discovery DaWak99.
Morzy T., Wrembel R.:On Querying Versions of Multi-version Data Warehouse. In Proceedings of 7th ACM DOLAP’04, Washington, USA, 2004
Bernadrino, J. Madera, H. Data Warehousing and OLAP: Improving Query Performance Using Distributed Computing, Proceedings of CAiSE’00, Sweden, 2000.
Raymond,D. Partial Order Databases,PhD Thesis, submitted to Department of Computer Science, University of Waterloo.
Genesereth,R.M. Keller,A.M. Duschka,O.M. Infomaster: An Information IntegrationSystem. Proceedings of ACM-SIGMOD’97, AZ, USA
Han,J. Kamber,M. Data mining: concepts and techniques,Morgan Kaufmann publishers, 2000.
Inmon, B. The Operational Data Store.InfoDB, February, 1995.
Baina, K. Tata, S. Bema;o, K. A Model for Process Service Inteaction. Proceedings of 1st Conference on Business Process management. Netherlands, 2003
Monge, A. Elkan, C. The field matching Problem: Algorithms and Applications.Proceedings of KDD-96.
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Nasir, J., Khurram Shahzad, M. (2007). Architecture for Virtualization in Data Warehouse. In: Sobh, T. (eds) Innovations and Advanced Techniques in Computer and Information Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6268-1_44
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DOI: https://doi.org/10.1007/978-1-4020-6268-1_44
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