System R is a database management system which provides a high level relational data interface. The systems provides a high level of data independence by isolating the end user as much as possible from underlying storage structures. The system permits definition of a variety of relational views on common underlying data. Data control features are provided, including authorization, integrity assertions, triggered transactions, a logging and recovery subsystem, and facilities for maintaining data consistency in a shared-update environment.This paper contains a description of the overall architecture and design of the system. At the present time the system is being implemented and the design evaluated. We emphasize that System R is a vehicle for research in database architecture, and is not planned as a product.

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System R: relational approach to database management

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.

Normalized data base structure: a brief tutorial

This paper deals with the history and definitions common to data-base technology It delimits the objectives of data-base management systems, discusses important concepts, and defines terminology for use by other papers in this issue, traces the development of data-base systems methodology, gives a uniform example, and presents some trends and issues

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Evolution of Data-Base Management Systems

Technology and knowledge: bridging a generating gap

The notion of a functional relation among the attributes of a data set can be fruitfully applied in the structuring of an information system. These relations are meaningful both to the user of the system in his semantic understanding of the data, and to the designer in implementing the system. An important equivalence between operations with functional relations and operations with analogous Boolean functions is demonstrated in this paper. The equivalence is computationally helpful in exploring the properties of a given set of functional relations, as well as in the task of partitioning a data set into subfiles for efficient implementation.

J. A. Tillinghast

Papers

Feature analysis of generalized data base management systems: CODASYL Systems Committee, May 1971