ACM SIGMOD Anthology VLDB dblp.uni-trier.de

A Methodologic Guide-Line for the Instalation of Data Base Development Tools and Data Administration Tools: Two Case Studies from Brazil.

H. M. Quintella, G. A. de Gusmão, M. R. de Oliveira, L. T. de Albuquerque, F. R. Leão: A Methodologic Guide-Line for the Instalation of Data Base Development Tools and Data Administration Tools: Two Case Studies from Brazil. VLDB 1979: 313-318
@inproceedings{DBLP:conf/vldb/QuintellaGOAL79,
  author    = {H. M. Quintella and
               G. A. de Gusm{\~a}o and
               M. R. de Oliveira and
               L. T. de Albuquerque and
               F. R. Le{\~a}o},
  editor    = {Antonio L. Furtado and
               Howard L. Morgan},
  title     = {A Methodologic Guide-Line for the Instalation of Data Base Development
               Tools and Data Administration Tools: Two Case Studies from Brazil},
  booktitle = {Fifth International Conference on Very Large Data Bases, October
               3-5, 1979, Rio de Janeiro, Brazil, Proceedings},
  publisher = {IEEE Computer Society},
  year      = {1979},
  pages     = {313-318},
  ee        = {db/conf/vldb/QuintellaGOAL79.html},
  crossref  = {DBLP:conf/vldb/79},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

In this paper we present a systems approach of data administration based upon concepts presented in [l], [2], [3], [4].

The tools herein presented were developed during the case studies described in [4a],[4b]. We divide such tools in five levels and provide interaction between levels by means of a new organizational design called trifunctional scheme.

Such case studies are also briefly summarized here. Out of such experiments a methodologic guide-line for the development of tools emerged that is presented in a propositional form.

Copyright © 1979 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


ACM SIGMOD Anthology

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Antonio L. Furtado, Howard L. Morgan (Eds.): Fifth International Conference on Very Large Data Bases, October 3-5, 1979, Rio de Janeiro, Brazil, Proceedings. IEEE Computer Society 1979
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