Database: Models, Languages, Design presents the traditional topic in database theory, and can be used as a self-study by database practitioners who are familiar with the relational technology and want to learn about object-oriented and deductive models. The author conveys a clearer introduction than competing books through his organization of the material and explanations of the concepts. Presentation and style differ from existing books, most notably in the emphasis on generic concepts rather than the specifics of the existence of commercial products. The book is divided into three parts: Part I, Database Models and their Access Models; Part II, Disk Storage Management; and Part III, Database Design.
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James L. Johnson is Professor of Computer Science at Western Washington University.
Comprehensive, unique, and accessible, Database: Models, Languages, Design is an ideal text for the introductory computer science course in database design. It can also serve as a self-study guide for database practitioners. Through his useful organization of the material and his comprehensive, lucid explanations of the concepts, Johnson provides a clear introduction to both traditional and modern topics in database design. Use of a running example set (an aquarium database) throughout provides a strong sense of continuity. This text describes five database models which represent current practice (the relational model), trends (the object-oriented and deductive models), and past experiences (the network and hierarchical models). Readers can easily follow the evolution from one model to the next because the same features are covered for each type of database.
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