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.
As of February 2024, this book is ranked as follows by the prestigious BookAuthority.org:
- 1st in the Data Modeling for Beginners category (https: //bookauthority.org/books/beginner-data-modeling-ebook
- 6th in the Data Modeling for All Time category (20 Best Data Modeling eBooks of All Time - BookAuthority)
- 2nd in the Database Design for Beginners category (6 Best Database Design eBooks for Beginners - BookAuthority)
- 6th in the Database Design for All Time category (20 Best Database Design eBooks of All Time - BookAuthority
