The Unnormalized Relational Data Model: For Office Form Processor Design (Computer Science Workbench) - Tapa blanda

Kitagawa, Hiroyuki; Kunii, Tosiyasu L.

 
9784431681014: The Unnormalized Relational Data Model: For Office Form Processor Design (Computer Science Workbench)

Sinopsis

This monograph provides a rigorous foundation for handling business and engineering data based on unnormalized relations. The model discussed here is the nested table data model. The book does not assume a reader's familiarity with database systems.

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Reseña del editor

Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Workbench represents an important new contribution in the field of practical computer technology. TOSIYASU L. KUNII Preface The evolution of database systems research is itself a story. Long after the emergence of systems derived from practical applications, Codd's relational data model has gradually occupied the theoretical domain of database systems and is moving into the realms of practical use. Certainly, the theoretical foundation makes database design, validation, and testing easier. However, Cod d's model allows only fiat tables to be handled, while most business and engineering data in practice are in nested table forms. Thus, a recent major obstacle in database systems development is the large gap between the theory and the practice.

Reseña del editor

This monograph provides a rigorous foundation for handling business and engineering data based on unnormalized relations. It can be used by practitioners, researchers, and students for self study or as a textbook. Both theoretical and practical aspects are discussed in this volume. In the relational data model, data objects are modeled as flat tables under a certain constraint. This constraint excludes nests of columns and/or rows from the relational data model. Therefore, extensions of the original relational data model have been proposed. In the nested table data model discussed here data are modeled as a collection of tables. This model is presented to provide a theoretical basis for modeling practical data in nested table forms. It is then applied to the design and implementation of a database workbench featuring an interactive manipulation of form-based documents. Nested tables are also used for application system generation. The book includes a useful overview of significant works relating to this important area of database research.

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