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Conceptual Data Modeling and Database Design: A Fully Algorithmic Approach, Volume 1 (The Shortest Advisable Path)

List Price: $99.00
SKU:
9781774635452
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  • Product Details

    Author:
    Christian Mancas
    Format:
    Paperback
    Pages:
    698
    Publisher:
    Apple Academic Press,CRC Press (March 31, 2021)
    Language:
    English
    ISBN-13:
    9781774635452
    Weight:
    16oz
    Dimensions:
    6" x 9"
    File:
    TAYLORFRANCIS-TayFran_260213053419714-20260213.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $99.00
    As low as:
    $94.05
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Country of Origin:
    United States
    Case Pack:
    1
    Pub Discount:
    30
    Audience:
    College/higher education
    Imprint:
    Apple Academic Press
  • Overview

    This new book aims to provide to both beginners and experts with a completely algorithmic approach to data analysis and conceptual modeling, database design, implementation, and tuning, starting from vague and incomplete customer requests and ending with IBM DB/2, Oracle, MySQL, MS SQL Server, or Access based software applications. A rich panoply of solutions to actual useful data sub-universes (e.g. business, university, public and home library, geography, history, etc.) is provided, constituting a powerful library of examples.



    Four data models are presented and used: the graphical Entity-Relationship, the mathematical EMDM, the physical Relational, and the logical deterministic deductive Datalogones. For each one of them, best practice rules, algorithms, and the theory beneath are clearly separated. Four case studies, from a simple public library example, to a complex geographical study are fully presented, on all needed levels.



    Several dozens of real life exercises are proposed, out of which at least one per chapter is completely solved. Both major historical and up-to-date references are provided for each of the four data models considered.



    The book provides a library of useful solutions to real-life problems and provides valuable knowledge on data analysis and modeling, database design, implementation, and fine tuning.