Conceptual Data Modeling And Database Design: A Fully Algorithmic Approach, Volume 1: The Shortest Advisable Path by Christian MancasConceptual Data Modeling And Database Design: A Fully Algorithmic Approach, Volume 1: The Shortest Advisable Path by Christian Mancas

Conceptual Data Modeling And Database Design: A Fully Algorithmic Approach, Volume 1: The Shortest…

byChristian Mancas

Hardcover | October 26, 2015

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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.

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 inv...
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Title:Conceptual Data Modeling And Database Design: A Fully Algorithmic Approach, Volume 1: The Shortest…Format:HardcoverDimensions:698 pages, 9.1 × 6.3 × 1.8 inPublished:October 26, 2015Publisher:Taylor and FrancisLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1771881240

ISBN - 13:9781771881241

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Table of Contents

Foreword by Professor Bernhard Thalheim

Foreword by Professor Dan Suciu

Preface

Data, Information and Knowledge in the Computer Era¿¿

Data, information, knowledge

Data analysis and conceptual modeling

Data and knowledge bases

Constraints (business rules)

Data and knowledge base management systems (DBMS, KBMS)

Static and dynamic aspects of databases

The Quest for Data Adequacy and Simplicity: The Entity-Relationship Data Model (E-RDM)

Entity and relationship type object sets

Attributes and surrogate keys

Entity-Relationship Diagrams (E-RDs)

Functional relationships and the Key Propagation Principle (KPP)

Relationship hierarchies

Higher arity non-functional relationships

Restriction sets

Case study: a public library (do we know exactly what a book is?)

The algorithm for assisting the data analysis and modeling process (A0). An E-R data model of the E-RDM

Best practice rules

The math behind E-RDs and restriction sets. The danger of "many-to-many relationships" and the correct E-RD of E-RDM

The Quest for Data Independence, Minimal Plausibility, and Formalization: The Relational Data Model (RDM)¿

First normal form tables, columns, constraints, rows, instances

The five basic relational constraint types

The algorithm for translating E-R data models into relational schemas and non-relational constraint sets (A1-7). An RDM model of the E-RDM

Case study: the relational scheme of the public library data model¿¿

The reverse engineering algorithm for translating relational schemas into E-R data models (REA1-2)¿

The algorithm for assisting keys discovery (A7/8-3)

RDBMS metacatalogs. Relational and E-R data models of the RDM¿¿¿¿

Relational schemas definition.¿SQL¿DDL

Relational instances manipulation.¿SQL¿DML.¿Relational calculi and algebra¿¿¿

Higher and the highest RDM normal forms

Best practice rules

The math behind RDM

Relational Schemas Implementation and Reverse Engineering¿¿¿

The algorithm for translating relational schemas into¿SQL DDL¿ANSI-92 scripts (A8)¿

Relevant differences between IBM¿DB2, Oracle¿Database¿and¿MySQL, Microsoft SQL Server¿and¿Access¿

Case study: implementing the public library RDB into¿DB2,¿Oracle,¿MySQL,¿SQL Server, and¿Access

The reverse engineering algorithm for translating¿Access 2013¿RDB schemas into SQL¿ANSI¿DDL¿scripts (REA2013A0), a member of¿REAF0¿¿

The algorithms for translating E-R data models into RDBs and associated non-relational constraint sets (AF1-8)¿

The reverse engineering family of algorithms for translating RDB schemas into E-R data models (REAF0-2)¿

Case study: reverse engineering of an¿Access¿Stocks¿DB scheme into both an ANSI standard¿SQL¿DDL¿script and an E-R data model

Best practice rules

The math behind the algorithms presented in this chapter

Conclusion

Database axioms

Why do we need another conceptual level for expert DB design?¿

What are the most important things that we should be aware of in DBs?¿¿

Appendix: Mathematic prerequisites for the math behind

Index

Editorial Reviews

"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) "One of the biggest problems in nowadays applications is the management of data. Analyzing and structuring large amounts of data relies on understanding and being able to describe its properties and constraints. Professor Christian Mancas's exceptionally well-documented work, A Conceptual Data Modeling and Database Design, gives the basic insights of the database models and their importance as a foundation for the complex applications. This book guides the reader throughout real-life scenarios, providing essential software engineering advice. Indeed, by addressing some of the problems people usually encounter when designing a database, Professor Mancas pedagogically connects the end user's requirements to the notions of entities and relations between them. Meanwhile, the mathematical analysis and proofs sustain the theoretical background of the statements and provide a complete view of the possible algorithmic optimizations. The first volume, A Fully Algorithmic Approach: The Shortest Advisable Path, represents an important contribution in the learning process as it advocates best practice rules in database designs with clear explanations and practical exercises. "This first volume mainly presents Professor Mancas's point of view of the database design state of the art (enriched with his main original contributions to the E-RDM and RDM). I am looking forward for the second volume of this book that will mainly present his most important contribution to the conceptual data modeling and database design: his (Elementary) Mathematical Data Model [(E)MDM], as well as MatBase, his KDBMS prototype based on both (E)MDM, E-RDM, RDM, and Datalog."¿Andra Hugo, PhD, University of Bordeaux, France "Modern scientific and business challenges, the proliferation of personal computers and intelligent gadgets, the Internet and industries' large amounts of data, all fuel a huge need of database management systems. The book by C. Mancas is an excellent introduction to pragmatic database design and development. Presented in a gentle manner, with many examples, the book is suited to a large category of readers, from computer science and engineering students to the practitioners of the domain."¿Cristian S. Calude, Chair Professor, Department of Computer Science, University of Auckland, New Zealand