Conceptual Data Modeling And Database Design: A Fully Algorithmic Approach Volume 1 The Shortest Advisable Path | Science Client Lines

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 My SQL 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. The Book Authority.org (https://bookauthority.org/author/Christian-Mancas) has recognised Conceptual Data Modeling and Database Design in 16 categories: Data Modeling Database Design Database Theory Relational Databases Database Schema Databases Data Processing and Algorithms for both Beginners and All Time. Readers mostly appreciate its pragmatic gentle pedagogical and algorithmic approach its valuable knowledge and best practice rules as well as its real-life examples and fully presented case studies. |Conceptual Data Modeling and Database Design: A Fully Algorithmic Approach Volume 1 The Shortest Advisable Path | Science Client Lines