Hardcover. Zustand: Very Good. Zustand des Schutzumschlags: None Issued. Text is unmarked; pages are bright. Binding is sturdy. Covers show some light wear around the corners. No dust jacket, as issued. International/Priority shipping at cost.
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In den WarenkorbHardback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Hardcover. Zustand: New.
hardcover. Zustand: Gut. 432 Seiten; 9780120887989.3 Gewicht in Gramm: 2.
Hardcover. Zustand: New.
Sprache: Englisch
Verlag: Elsevier Science & Technology, 2006
ISBN 10: 0120887983 ISBN 13: 9780120887989
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 84,03
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In den WarenkorbHardback. Zustand: New. New copy - Usually dispatched within 4 working days.
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 432 | Sprache: Englisch | Produktart: Bücher | "In recent years, companies have come to realize that their data represents a signficant corporate resource--along with capital and people. But, until recently, companies have not had a means to manage that resource. That has changed. With the advent of data warehouses and other data management technology, management tools for resource management are now becoming available. One critical tool is the metadata repository, which contains the definitions of the company's systems as well as the things of significance to the business; the functions of the business, and the things that constrain it. How do you model a metadata repository for your business, down to the last detail? This book fills that market need.".
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
EUR 73,62
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In den WarenkorbZustand: new. Questo è un articolo print on demand.
Sprache: Englisch
Verlag: Elsevier Science Apr 2006, 2006
ISBN 10: 0120887983 ISBN 13: 9780120887989
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Model Patterns: A Metadata Map not only presents a conceptual model of a metadata repository but also demonstrates a true enterprise data model of the information technology industry itself. It provides a step-by-step description of the model and is organized so that different readers can benefit from different parts. It offers a view of the world being addressed by all the techniques, methods, and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) and presents several concepts that need to be addressed by such tools. This book is pertinent, with companies and government agencies realizing that the data they use represent a significant corporate resource recognize the need to integrate data that has traditionally only been available from disparate sources. An important component of this integration is management of the 'metadata' that describe, catalogue, and provide access to the various forms of underlying business data. The 'metadata repository' is essential to keep track of the various physical components of these systems and their semantics. The book is ideal for data management professionals, data modeling and design professionals, and data warehouse and database repository designers. 432 pp. Englisch.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Model Patterns: A Metadata Map not only presents a conceptual model of a metadata repository but also demonstrates a true enterprise data model of the information technology industry itself. It provides a step-by-step description of the model and is organized so that different readers can benefit from different parts. It offers a view of the world being addressed by all the techniques, methods, and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) and presents several concepts that need to be addressed by such tools. This book is pertinent, with companies and government agencies realizing that the data they use represent a significant corporate resource recognize the need to integrate data that has traditionally only been available from disparate sources. An important component of this integration is management of the 'metadata' that describe, catalogue, and provide access to the various forms of underlying business data. The 'metadata repository' is essential to keep track of the various physical components of these systems and their semantics. The book is ideal for data management professionals, data modeling and design professionals, and data warehouse and database repository designers.