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Autor(en): 
  • Alan Chmura
  • J. Mark Heumann
  • Logical Data Modeling: What it is and How to do it 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2004  
    Genre:  EDV / Informatik 
     
    B / Business applications / Business mathematics & systems / Business—Data processing / Computer Engineering and Networks / Computer networking & communications / Computer organization / computer science
    ISBN:  9780387229508 
    EAN-Code: 
    9780387229508 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #05 - Integrated Series in Information Systems  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1160 gr 
    Seiten:  228 
    Illustration:  XII, 228 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Logical Data Modeling offers business managers, analysts, and students a clear, basic systematic guide to defining business information structures in relational database terms. The approach, based on Clive Finkelstein's business-side Information Engineering, is hands-on, practical, and explicit in terminology and reasoning. Filled with illustrations, examples, and exercises, Logical Data Modeling makes its subject accessible to readers with only a limited knowledge of database systems. The book covers all essential topics thoroughly but succinctly: entities, associations, attributes, keys and inheritance, valid and invalid structures, and normalization. It also emphasizes communication with business and database specialists, documentation, and the use of Visible Systems' Visible Advantage enterprise modeling tool. The application of design patterns to logical data modeling provides practitioners with a practical tool for fast development. At the end, a chapter covers the issues that arise when the logical data model is translated into the design for a physical database.

      



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