Synopsis
The literature on database design most often deals with processes for well-structured organizations. In contrast, this book provides a step-by-step approach to the development of the conceptual scheme for systems that do not yet exist, and in which the process of information flow has not been worked out. It shows how to analyze data that at first seems chaotic and disorganized to achieve a highly structured, useful data representation: a data dictionary. Using the Entity-Relationship model, it gives thorough instructions on procedures for integrating individual sections, or individual databases, into a coherent system. To prepare for data collection, it demonstrates how to establish a system of rules that determine the representation of each item so that conflicts between data as they appear in the real world and as they should be recorded in the database are resolved. Also offered is a set of criteria for evaluating the database scheme.
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Reviews
A practical handbook by a professor (G.S.L.I.S., University of Washington) on how to design a database system from the initial analysis stage through evaluation. Readers without previous experience will find this guide invaluable for its detailed discussion of a conceptual approach to analysis and its description in nontechnical, jargon-free language of different system designs. Useful as a text or handbook for systems analysts, end users, or information specialists who wish to design their own databases. Each chapter provides a limited list of additional references. Recommended for all except school libraries. Samuel T. Huang, Northern Illinois Univ. Libs., DeKalb
Copyright 1988 Reed Business Information, Inc.
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Database Design for Information Retrieval: A Conceptual Approach (Information Science)
Seller: GuthrieBooks, Spring Branch, TX, U.S.A.
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Hardcover. Condition: Very Good. Ex-library hardcover no dj (blue boards) in very nice condition with the usual library markings and attachments. Text block clean and unmarked. Tight binding. Seller Inventory # GL17A34461