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.

The BookAuthority.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.