Introduction to Constraint Databases

Peter Revesz

ISBN 10: 0387987290 / ISBN 13: 9780387987293

Edité par Springer New York, 2002

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - This textbook provides students with a course in the theory of databases. It is different from others in that the author presents the subject in the framework of constraint databases which provide a natural and powerful generalization of relational databases. An important theme running through the text is to show how relational databases can smoothly develop into constraint databses and so relational database users can easily become constraint databaseusers. Switching to constraint databases requires sacrificing none of the benefits of relational databses whilst new advantages may be realised. Peter Revesz begins by discussing data models and how queries may be addressed to these models. From this, he develops the theory of relational and constraint databases including Datalog and the relational calculus. The book then discusses three sample constraint database systems, DISCO, DINGO, and RATHER. Advanced undergraduate students and graduate students in computer science will find this a clear introduction to the subject. Professionals and researchers will appreciate this novel perspective on their subject.

N° de réf. du vendeur 9780387987293

Détails bibliographiques

• Titre: Introduction to Constraint Databases
• Éditeur: Springer New York
• Date de parution: 2002
• Langue: anglais
• ISBN à 10 chiffres: 0387987290
• ISBN à 13 chiffres: 9780387987293
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

Synopsis

A new text/reference presenting the theory and applications of "constraint database" systems, which provide new methods for the design of data models and query languages. Constraint databases bring techniques from a variety of fields, such as logic and model theory, algebraic and computational geometry, as well as symbolic computation, to the design and analysis of data models and query languages. An essential resource for advanced students, practitioners, and professionals in computer science, database systems, and information systems.