ABSTRACT
Casual and other users of large formatted data bases need a simple tabular (relational) view of the data rather than a network or tree-structured view. This paper illustrates the removal of repeating groups, hierarchic and plex structures, and cross-referencing structures. Finally, the simplification of data base relations by normalization is discussed.
- F. B. Thompson, P. C. Lockemann, B. H. Dostert, R. S. Deverill, "REL: A Rapidly Extensible Language System", Proc. Nat. ACM August 1969 San Francisco. Google ScholarDigital Library
- B. H. Dostert, F. B. Thompson, "How Features Resolve Syntactic Ambiguity", Proceedings of Symposium on Information Storage and Retrieval, University of Maryland, April 1--2, 1971. Google ScholarDigital Library
- B. H. Dostert, F. B. Thompson "Syntactic Analysis in REL English", 1971 International Meeting in Computational Linguistics, Debrecen, Hungary September 1971.Google Scholar
- Codasyl Systems Committee, "Feature Analysis of Generalized Data Base Management Systems", May 1971, obtainable from ACM HQ, New York, New York. Google ScholarDigital Library
- E. F. Codd, "A Data Base Sublanguage founded on the Relational Calculus", Proc. 1971 ACM-SIGFIDET Workshop on Data Description, Access and Control, to be available from ACM HQ, 1972. Google ScholarDigital Library
- E. F. Codd, "A Relational Model of Data for Large Shared Data Banks", Comm. ACM 13 6, June 1970, 377--387. Google ScholarDigital Library
- E. F. Codd, "Further Normalization of the Data Base Relational Model", Courant Computer Science Symposia 6, "Data Base Systems", New York City, May 24--25, 1971, to be published by Prentice-Hall.Google Scholar
- I. J. Heath, "Unacceptable File Operations in a Relational Data Base", Proc. 1971 ACM-SIGFIDET Workshop on Data Descirption, Access and Control, to be available from ACM HQ, 1972. Google ScholarDigital Library
- Normalized data base structure: a brief tutorial
Recommendations
Automatic Generation of Normalized Relational Schemas from Nested Key-Value Data
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataSelf-describing key-value data formats such as JSON are becoming increasingly popular as application developers choose to avoid the rigidity imposed by the relational model. Database systems designed for these self-describing formats, such as MongoDB, ...
Comments