A relational model of data for large shared data banks
Communications of the ACM
Beginnings of a theory of information handling
Communications of the ACM
Specifying queries as relational expressions
SIGPLAN '73 Proceedings of the 1973 meeting on Programming languages and information retrieval
A Comparison of the Relational and CODASYL Approaches to Data-Base Management
ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
Data description for computer-aided design
SIGMOD '75 Proceedings of the 1975 ACM SIGMOD international conference on Management of data
Interactive support for non-programmers: The relational and network approaches
SIGFIDET '74 Proceedings of the 1974 ACM SIGFIDET (now SIGMOD) workshop on Data description, access and control: Data models: Data-structure-set versus relational
MICRONET: a microcomputer network system for managing distributed relational databases
VLDB '78 Proceedings of the fourth international conference on Very Large Data Bases - Volume 4
REGIS: a relational information system with graphics and statistics
AFIPS '76 Proceedings of the June 7-10, 1976, national computer conference and exposition
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The use of relations as a model of information stored in large data bases has several significant advantages over other methods of data description. It is often, however, criticized as difficult to implement efficiently. In this paper, some of the pros and cons of the relational model are discussed. The concepts of modeling information structures with data is illustrated with the CODASYL DBTG and the relational models. Then the main concepts of a relational data management system are presented based on current implementations. The advantages and disadvantages of the relational model is discussed in the light of these implementations. By presenting the theories of relational data management in a context of specific system implementations, the advantages and disadvantages of this data organization will be more clearly understood.