Managing and Querying Versions of Multiversion Data Warehouse

  • Robert Wrembel
  • Tadeusz Morzy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3896)


A data warehouse (DW) is a database that integrates external data sources (EDSs) for the purpose of advanced data analysis. The methods of designing a DW usually assume that a DW has a static schema and structures of dimensions. In practice, schema and dimensions’ structures often change as the result of the evolution of EDSs, changes of the real world represented in a DW, new user requirements, new versions of software being installed, and system tuning activities. Examples of various change scenarios can be found in [1,8].


Schema Version Data Warehouse Simulation Purpose Transaction Manager Real Version 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Bȩbel, B., Eder, J., Koncilia, Ch., Morzy, T., Wrembel, R.: Creation and Management of Versions in Multiversion Data Warehouse. In: Proc. of ACM SAC, Cyprus (2004)Google Scholar
  2. 2.
    Blaschka, M., Sapia, C., Höfling, G.: On Schema Evolution in Multidimensional Databases. In: Mohania, M., Tjoa, A.M. (eds.) DaWaK 1999. LNCS, vol. 1676, pp. 153–164. Springer, Heidelberg (1999)Google Scholar
  3. 3.
    Chamoni, P., Stock, S.: Temporal Structures in Data Warehousing. In: Mohania, M., Tjoa, A.M. (eds.) DaWaK 1999. LNCS, vol. 1676, pp. 353–358. Springer, Heidelberg (1999)Google Scholar
  4. 4.
    Cui, Y., Widom, J.: Lineage Tracing for General Data Warehouse Transformations. In: Proc. of VLDB (2001)Google Scholar
  5. 5.
    Eder, J., Koncilia, C., Morzy, T.: The COMET Metamodel for Temporal Data Warehouses. In: Pidduck, A.B., Mylopoulos, J., Woo, C.C., Ozsu, M.T. (eds.) CAiSE 2002. LNCS, vol. 2348, p. 83. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  6. 6.
    Golfarelli, M., Lechtenbörger, J., Rizzi, S., Vossen, G.: Schema Versioning in Data Warehouses. In: Proc. of ER Workshops, China (2004)Google Scholar
  7. 7.
    Microsoft ImmortalDB (2005), from (Retrieved November 25, 2005)
  8. 8.
    Mendelzon, A.O., Vaisman, A.A.: Temporal Queries in OLAP. In: Proc. of VLDB, Egypt (2000)Google Scholar
  9. 9.
    Morzy, T., Wrembel, R.: On Querying Versions of Multiversion Data Warehouse. In: Proc. of DOLAP, USA (2004)Google Scholar
  10. 10.
    Salzberg, B., Jiang, L., Lomet, D., Barrena, M., Shan, J., Kanoulas, E.: A Framework for Access Methods for Versioned Data. In: Bertino, E., Christodoulakis, S., Plexousakis, D., Christophides, V., Koubarakis, M., Böhm, K., Ferrari, E. (eds.) EDBT 2004. LNCS, vol. 2992, pp. 730–747. Springer, Heidelberg (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Robert Wrembel
    • 1
  • Tadeusz Morzy
    • 1
  1. 1.Institute of Computing SciencePoznań University of TechnologyPoznańPoland

Personalised recommendations