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Bi-Temporal Versioning of Schema in Temporal Data Warehouses

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Data Engineering and Intelligent Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 542 ))

Abstract

The temporal design of data warehouse (DW), which is an extension to multidimensional model gives a provision to implement the solution to handle time-varying info in dimensions. The dimension data is time-stamped with valid time (VT) to maintain a complete data history in temporal data warehouses (TDWs). Thus, TDWs manage evolvement of schema over a period of time by using versioning of schemas as well as evolution of data described under various versions of schema. But schema versioning in TDWs has not been covered in full detail. Mainly, the approaches to handle schema versions using valid time were proposed so far. This paper proposes an approach for bitemporal versions of schema in temporal DW model that allows for retroactive and proactive schema modifications and in addition also helps in tracking them.

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References

  1. Agrawal, R., Gupta, A., Sarawagi, S.: Modeling multidimensional databases. IBM Research Report, IBM Almaden Research Center (1995)

    Google Scholar 

  2. Bębel, B., Eder, J., Konicilia, C., Morzy, T., Wrembel, R.: Creation and management of versions in multiversion data warehouse. In: Proceedings of ACM Symposium on Applied Computing (SAC), pp. 717–723 (2004)

    Google Scholar 

  3. Bębel, B., Królikowski, Z., Wrembel, R.: Managing multiple real and simulation business scenarios by means of a multiversion data warehouse. In: Proceedings of International Conference on Business Information Systems (BIS). Lecture Notes in Informatics, pp. 102–113 (2006)

    Google Scholar 

  4. Bębel, B., Wrembel, R., Czejdo, B.: Storage structures for sharing data in multi-version data warehouse. In: Proceedings of Baltic Conference on Databases and Information Systems, pp. 218–231 (2004)

    Google Scholar 

  5. Benítez-Guerrero, E., Collet, C., Adiba, M.: The WHES approach to data warehouse evolution. Digit. J. e-Gnosis (2003). http://www.e-gnosis.udg.mx, ISSN: 1665-5745

  6. Blaschka, M., Sapia, C., Hofling, G.: On schema evolution in multidimensional databases. In: Proceedings of International Conference on Data Warehousing and Knowledge Discovery (DaWaK). Lecture Notes in Computer Science, vol. 1676, pp. 153–164 (1999)

    Google Scholar 

  7. Blaschka, M.: FIESTA: a framework for schema evolution in multidimensional information systems. In: 6th CAiSE Doctoral Consortium, Heidelberg (1999)

    Google Scholar 

  8. Body, M., Miquel, M., Bédard, Y., Tchounikine, A.: A multidimensional and multiversion structure for OLAP applications. In: Proceedings of ACM International Workshop on Data Warehousing and OLAP (DOLAP), pp. 1–6 (2002)

    Google Scholar 

  9. Body, M., Miquel, M., Bédard, Y., Tchounikine, A.: Handling evolutions in multidimensional structures. In: Proceedings of International Conference on Data Engineering (ICDE), p. 581 (2003)

    Google Scholar 

  10. De Castro, C., Grandi, F., Scalas, M.R.: On schema versioning in temporal databases. In: Clifford, S., Tuzhilin, A. (eds.) Recent Advances in Temporal Databases, pp. 272–294. Springer, Zurich Switzerland (1995)

    Chapter  Google Scholar 

  11. Chamoni, P., Stock, S.: Temporal structures in data warehousing. In: Proceedings of International Conference on Data Warehousing and Knowledge Discovery (DaWaK). Lecture Notes in Computer Science, vol. 1676, pp. 353–358 (1997)

    Google Scholar 

  12. Eder, J.: Evolution of dimension data in temporal data warehouses. Technical report 11, Univ. of Klagenfurt, Department of Informatics-Systems (2000)

    Google Scholar 

  13. Eder, J., Koncilia, C.: Changes of dimension data in temporal data warehouses. In: Proceedings of International Conference on Data Warehousing and Knowledge Discovery (DaWaK). Lecture Notes in Computer Science, vol. 2114, pp. 284–293 (2001)

    Google Scholar 

  14. Eder, J., Koncilia, C., Morzy, T.: A model for a temporal data warehouse. In: Proceedings of the International OESSEO Conference, Rome, Italy (2001)

    Google Scholar 

  15. Eder, J., Koncilia, C., Morzy, T.: The COMET metamodel for temporal data warehouses. In: Proceedings of Conference on Advanced Information Systems Engineering (CAiSE). Lecture Notes in Computer Science, vol. 2348, pp. 83–99 (2002)

    Google Scholar 

  16. Golfarelli, M., Lechtenbörger, J., Rizzi, S., Vossen, G.: Schema versioning in data warehouses. In: Proceedings of ER Workshops. Lecture Notes in Computer Science, vol. 3289, pp. 415–428 (2004)

    Google Scholar 

  17. Hurtado, C.A., Mendelzon, A.O., Vaisman, A.A.: Maintaining data cubes under dimension updates. In: Proceedings of International Conference on Data Engineering (ICDE), pp. 346–355 (1999)

    Google Scholar 

  18. Hurtado, C.A., Mendelzon, A.O., Vaisman, A.A.: Updating OLAP dimensions. In: Proceedings of ACM International Workshop on Data Warehousing and OLAP (DOLAP), pp. 60–66 (1999)

    Google Scholar 

  19. Kaas, Ch.K., Pedersen, T.B., Rasmussen, B.D.: Schema evolution for stars and snowflakes. In: Proceedings of International Conference on Enterprise Information Systems (ICEIS), pp. 425–433 (2004)

    Google Scholar 

  20. Letz, C., Henn, E.T., Vossen, G.: Consistency in data warehouse dimensions. In: Proceedings of International Database Engineering and Applications Symposium (IDEAS), pp. 224–232 (2002)

    Google Scholar 

  21. Malinowski, E., Zimanyi, E.: A conceptual solution for representing time in data warehouse dimensions. In: 3rd Asia-Pacific Conference on Conceptual Modelling, Hobart Australia, pp. 45–54 (2006)

    Google Scholar 

  22. Mendelzon, A.O., Vaisman, A.A.: Temporal queries in OLAP. In: Proceedings of International Conference on Very Large Data Bases (VLDB), pp. 242–253 (2000)

    Google Scholar 

  23. Schlesinger, L., Bauer, A., Lehner, W., Ediberidze, G., Gutzman, M.: Efficiently synchronizing multidimensional schema data. In: Proceedings of ACM International Workshop on Data Warehousing and OLAP (DOLAP), pp. 69–76 (2001)

    Google Scholar 

  24. SOO, M.: Bibliography on Temporal Databases. ACM SIGMOD Record (1991)

    Google Scholar 

  25. Vaisman, A., Mendelzon, A.: A temporal query language for OLAP: implementation and case study. In: Proceedings of Workshop on Data Bases and Programming Languages (DBPL). Lecture Notes in Computer Science, vol. 2397, pp. 78–96. Springer (2001)

    Google Scholar 

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Correspondence to Anjana Gosain .

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Gosain, A., Saroha, K. (2018). Bi-Temporal Versioning of Schema in Temporal Data Warehouses. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_34

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  • DOI: https://doi.org/10.1007/978-981-10-3223-3_34

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