Sprache: Englisch
Verlag: Whitemarsh Information Systems Corporation, 2008
ISBN 10: 0978996844 ISBN 13: 9780978996840
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 88,37
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 404 pages. 9.20x7.50x1.00 inches. In Stock.
Anbieter: moluna, Greven, Deutschland
EUR 68,32
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. KlappentextThis volume justifies why accomplishing data semantics management is so critical to the overall success of data interoperability and shared data. The book identifies and describes the two error classes that prevent data intero.
Sprache: Englisch
Verlag: Whitemarsh Information Systems Corporation, 2008
ISBN 10: 0978996844 ISBN 13: 9780978996840
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 135,29
Anzahl: 1 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Whitemarsh Information Systems Corporation Sep 2008, 2008
ISBN 10: 0978996844 ISBN 13: 9780978996840
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - The Data Semantics Management book is divided into two volumes. Volume 1, this volume, addresses Rationale, Requirements, and Architecture. Volume 2 addresses Deployment. This volume justifies why accomplishing data semantics management is so critical to the overall success of data interoperability and shared data. The approach embraced by these two volumes is founded on the idea of top-down and centralized architecture, engineering, policies, and procedures, but bottom-up, distributed accomplishment. If attempted only top-down, the outcomes will mirror familiar centralized czar-like failures of the past. If accomplished only bottom-up, the outcomes will be the vast forests of semantic stove pipes. Volume 1 presents these key topics: Rationale, Data Semantics Components, Failures and Lessons Learned, Engineering, Successful Name Construction, Semantic Hierarchies including taxonomies and ontologies, Value Domain Managememnt, and the Business Fact Specification cases including Business Rule engineering. The book identifies and describes the two error classes that prevent data interoperability and sharing. Each chapter addresses how these two classes are addressed. Each chapter concludes with an extensive set of questions and exercises.