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
Agrawal, R., Gupta, A., Sarawagi, S.: Modeling multidimensional databases. IBM Research Report, IBM Almaden Research Center (1995)
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)
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)
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)
BenÃtez-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
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)
Blaschka, M.: FIESTA: a framework for schema evolution in multidimensional information systems. In: 6th CAiSE Doctoral Consortium, Heidelberg (1999)
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)
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)
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)
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)
Eder, J.: Evolution of dimension data in temporal data warehouses. Technical report 11, Univ. of Klagenfurt, Department of Informatics-Systems (2000)
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)
Eder, J., Koncilia, C., Morzy, T.: A model for a temporal data warehouse. In: Proceedings of the International OESSEO Conference, Rome, Italy (2001)
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)
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)
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)
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)
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)
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)
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)
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)
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)
SOO, M.: Bibliography on Temporal Databases. ACM SIGMOD Record (1991)
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)
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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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