ISBN: 9780195107838 - database: models, languages, design (5 Ergebnisse)

Hardcover. Zustand: Very Good. Database: Models, Languages, Design This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. …

Zustand: Gut. Zustand: Gut | Seiten: 944 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Buch. Zustand: Neu. Neuware - Comprehensive, unique, and accessible, Database: Models, Languages, Design is an ideal text for the introductory computer science course in database theory. It can also serve as a self-study guide for database practitioners. Through his useful organization of the material and his comprehensive, lucid explanations of the concepts, Johnson provides a clear introduction to both traditional and modern topics in database theory. Use of a running example set (an aquarium database) throughout provides a strong sense of continuity.This text describes five database models which represent current practice (the relational model), trends (the object-oriented and deductive models), and past experiences (the network and hierarchical models). Students can easily follow the evolution from one model to the next because the same features are covered for each type of database.…