About the Book
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 s
Table of Contents:
Foreword by Professor Bernhard Thalheim. Foreword by Professor Dan Suciu. Preface. Data, Information and Knowledge in the Computer Era. The Quest for Data Adequacy and Simplicity: The Entity-Relationship Data Model (E-RDM). The Quest for Data Independence, Minimal Plausibility, and Formalization: The Relational Data Model (RDM). Relational Schemas Implementation and Reverse Engineering. Conclusion.
About the Author :
Christian Mancas, PhD, is currently an associate professor with both the Mathematics and Computer Science Departments of Ovidius University, Constanta, Romania, and the Engineering Taught in Foreign Languages Department (Computer Science and Telecommunications in English stream) of Politehnica University, Bucharest, Romania (as an invited professor). Since 2012, he is also a database architect with Asentinel International srl, Bucharest, a subsidiary of Asentinel LLC, Memphis, Tennessee. His specialties include university teaching, R&D, business analysis, conceptual data and knowledge modeling and querying, client-server, hierarchical software architecture, object-oriented, event-driven design, structured development, complex project and small IT company management, Datalog, SQL, C#, XML programming, etc.
Professor Christian Mancas has published dozens of scientific papers (in Romania, USA, Austria, and Greece), which have been indexed by ACM Digital Library, Zentralblatt, Scopus, DBLP, Arnetminer, Researchr, TDGS, SCEAS, etc. He has also published three books in Romanian and dozens of reviews (mostly in USA, including ACM Reviews). He was a program committee member and session chairman for several software conferences in USA, Austria, and Romania, and he is a member of several associations (including ACM, the Romanian Mathematics Sciences Society, and the International Who's Who of Professionals). Since 2006, his biography is included in Marquis Who's Who in the World and Who's Who in Science and Engineering and Hubners' Who's Who in Romania.
Since 1990, he also worked for several IT startups, including his own DATASIS Consult srl (co-owned with his good friend and faculty colleague Ion Draghicescu) and DATASIS ProSoft srl (who had 25 programmers working for the design and development of several ERP-type database applications for customers from France, UK, Switzerland, USA, Israel,
Review :
"What Christian Mancas wanted to do is to write the best possible book on real, pragmatic database design available, bar none. He suceeded... This book will find its way into the literature on database design and development. It has a good number of ideas that must be considered in any design task. It uses a sample-based approach and is thus easy to understand. It supports digestion due to nice exercises. And, finally it discusses in details also the result of a design in different DBMS languages. So, a reader can be sure that the book guides to the right track." -Bernhard Thalheim, Department of Computer Science, Christian-Albrechts-University Kiel, Germany (from the Foreword) "Covers the classical data management topics that any computer professional should master... This volume is a gentle yet rigorous and extensive introduction to the main topics in data management, with concrete examples on several popular database systems. There are lots of detailed examples, and each concept is covered in detail, and from several perspectives, using alternative definitions or notations where needed. The book ensures that no reader is left behind, and all potential questions are answered... Best suited for the practitioner who wants to achieve a thorough understanding of the fundamental concepts in data management... This volume is an important first step in understanding the complexities of data today." -Dan Suciu, Professor, University of Washington, Seattle, USA (from the Foreword)
