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Trends and Scale-Up for Data Administration

  • Arnon Rosenthal
  • Len Seligman
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1565)

Abstract

The application development lifecycle is undergoing several grand unifications that, together, will rescue conceptual modeling from the wilderness. At the same time, advances in data warehouses and middleware are removing some of the software barriers to large, multi-organizational databases, creating new data administration challenges. The increasing scale and complexity of our systems identify new “grand challenges” to data administration research; we discuss two of these, in some detail: the administration of multi-tier schema, and exploiting legacy or “foreign” data during the development of new application schemas. We illustrate these issues with examples taken from the United States Department of Defense (DOD).

Keywords

Unify Modeling Language Query Language Conceptual Schema Application Schema Object Technology 
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.

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References

  1. [Alon90]
    R. Alonso, D. Barbara, and H. Garcia-Molina, “Data Caching Issues in an Information Retrieval System,” ACM Trans. on Database Systems, 15(3), 1990.Google Scholar
  2. [Bars91]
    T. Barsalou, A. Keller, N. Siambela, and G. Wiederhold, “Updating Relational Databases through Object-Based Views,” Proc. of ACM-SIGMOD Int. Conf. on Management of Data, Denver, CO, 1991.Google Scholar
  3. [CACM97]
    “Object-Oriented Application Frameworks”, Communications of the ACM, special section, Oct. 1997.Google Scholar
  4. [Hans97]
    E. Hanson and S. Khosla, “An Introduction to the TriggerMan Asynchronous Trigger Processor,” Proc. of Third International Workshop on Rules in Database Systems (RIDS’ 97), Skövde, Sweden, Springer Lecture Notes in Computer Science, June 1997Google Scholar
  5. [Rati98]
    UML Resource Page, Rational Software, http://www.rational.com/uml/index.html
  6. [Rose97]
    A. Rosenthal, P. Dell, “Propagating Integrity Information in Multi-Tiered Database Systems”, Workshop on Information Quality, Cambridge, MA, 1997.Google Scholar
  7. [Rose98]
    A. Rosenthal, “Where Will Object Technology Drive Data Administration?”, ACM SIGMOD Record, March 1998.Google Scholar
  8. [Seli97]
    Seligman, L. and L. Kerschberg, “A Mediator for Approximate Consistency: Supporting ‘Good Enough’ Materialized Views,” Journal of Intelligent Information Systems, Kluwer Scientific Publishers,8(2), June 1997.Google Scholar
  9. [Shet90]
    A. Sheth, J. Larson, “Federated Databases: Architecture and Integration”, ACM Computing Surveys, Sept. 1990.Google Scholar
  10. [Tsic77]
    D. Tsichritzis, F. Lochovsky, Data Base Management Systems, Academic Press, 1977.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Arnon Rosenthal
    • 1
  • Len Seligman
    • 2
  1. 1.The MITRE CorporationBedfordUSA
  2. 2.The MITRE CorporationMcLeanUSA

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