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 Conceptual Data Modeling and Database Design A Fully Algorithmic Approach Volume...

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PostSubject: Conceptual Data Modeling and Database Design A Fully Algorithmic Approach Volume...   Conceptual Data Modeling and Database Design A Fully Algorithmic Approach Volume... EmptyThu Jan 07, 2016 12:46 pm

Conceptual Data Modeling and Database Design A Fully Algorithmic Approach Volume... 55b6953cd0b6b0466cccdb89975d6b9d

Conceptual Data Modeling and Database Design: A Fully Algorithmic Approach, Volume 1: The Shortest Advisable Path by Christian Mancas
2015 | ISBN: 1771881240 | English | 698 pages | PDF | 113 MB
This new book aims to provide 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 Datalog ones. 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.



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