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#Databaserequirementsanalysis #Entitiesandrelationships #Normalizationandupdateanomalies #SQLschemaimplementation #Codd’srelationalrules #RelationalDatabaseDesignandImplementation
Relational Database Design and Implementation: Clearly Explained is a technical guide to the principles and practice of building relational databases. In its fourth edition, Jan L. Harrington combines database design theory with implementation concerns, moving from the basic database environment and requirements analysis toward SQL-based creation, population, and retrieval of data. Its central purpose is not merely to teach table syntax, but to show why structural decisions determine whether a database preserves accurate information, supports useful applications, and performs adequately as demands grow. The book addresses the relational data model, entities and relationships, normalization, database structure, performance considerations, and Codd’s rules for relational systems. It also broadens the discussion through object-relational approaches, CASE tools, and updated context involving cloud computing, big data, and alternatives to purely relational systems. Three design case studies support its practical orientation. Harrington writes primarily for students and IT or IS practitioners who need a structured, vendor-neutral foundation for evaluating and implementing database designs.