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ISBN 10: 1634620747 ISBN 13: 9781634620741
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ISBN 10: 1634620747 ISBN 13: 9781634620741
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ISBN 10: 1634620747 ISBN 13: 9781634620741
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ISBN 10: 1634620747 ISBN 13: 9781634620741
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Published by Technics Publications, 2015
ISBN 10: 1634620747 ISBN 13: 9781634620741
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Published by Technics Publications, 2015
ISBN 10: 1634620747 ISBN 13: 9781634620741
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Published by Technics Publications, 2015
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Published by Technics Publications, 2015
ISBN 10: 1634625463 ISBN 13: 9781634625463
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Published by Technics Publications 5/15/2015, 2015
ISBN 10: 1634625463 ISBN 13: 9781634625463
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Hardback or Cased Book. Condition: New. Object-Role Modeling Fundamentals: A Practical Guide to Data Modeling with ORM. Book.
Language: English
Published by Technics Publications, 2015
ISBN 10: 1634625463 ISBN 13: 9781634625463
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Published by Technics Publications, 2015
ISBN 10: 1634625463 ISBN 13: 9781634625463
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Published by Technics Publications 5/15/2015, 2015
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Published by Technics Publications, 2015
ISBN 10: 1634620747 ISBN 13: 9781634620741
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Published by Technics Publications, 2015
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Published by Technics Publications, 2015
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Published by Technics Publications, 2015
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Condition: New. KlappentextrnrnObject-Role Modeling (ORM) is a fact-based approach to data modeling that expresses the information requirements of any business domain simply in terms of objects that play roles in relationships. All facts of interest are treated.
Language: English
Published by Technics Publications Mai 2015, 2015
ISBN 10: 1634620747 ISBN 13: 9781634620741
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Taschenbuch. Condition: Neu. Neuware - Object-Role Modeling (ORM) is a fact-based approach to data modeling that expresses the information requirements of any business domain simply in terms of objects that play roles in relationships. All facts of interest are treated as instances of attribute-free structures known as fact types, where the relationship may be unary (e.g. Person smokes), binary (e.g. Person was born on Date), ternary (e.g. Customer bought Product on Date), or longer. Fact types facilitate natural expression, are easy to populate with examples for validation purposes, and have greater semantic stability than attribute-based structures such as those used in Entity Relationship Modeling (ER) or the Unified Modeling Language (UML).All relevant facts, constraints and derivation rules are expressed in controlled natural language sentences that are intelligible to users in the business domain being modeled. This allows ORM data models to be validated by business domain experts who are unfamiliar with ORM's graphical notation. For the data modeler, ORM's graphical notation covers a much wider range of constraints than can be expressed in industrial ER or UML class diagrams, and thus allows rich visualization of the underlying semantics.Suitable for both novices and experienced practitioners, this book covers the fundamentals of the ORM approach. Written in easy-to-understand language, it shows how to design an ORM model, illustrating each step with simple examples. Each chapter ends with a practical lab that discusses how to use the freeware NORMA tool to enter ORM models and use it to automatically generate verbalizations of the model and map it to a relational database.
Language: English
Published by Technics Publications LLC, 2015
ISBN 10: 1634620747 ISBN 13: 9781634620741
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Language: English
Published by Technics Publications, 2015
ISBN 10: 1634620747 ISBN 13: 9781634620741
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Language: English
Published by Technics Publications, 2015
ISBN 10: 1634625463 ISBN 13: 9781634625463
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Language: English
Published by Technics Publications, 2015
ISBN 10: 1634625463 ISBN 13: 9781634625463
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Language: English
Published by Technics Publications, 2015
ISBN 10: 1634625463 ISBN 13: 9781634625463
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Object-Role Modeling (ORM) is a fact-based approach to data modeling that expresses the information requirements of any business domain simply in terms of objects that play roles in relationships. All facts of interest are treated as instances of attribute-free structures known as fact types where the relationship may be unary (e.g. Person smokes) binary (e.g. Person was born on Date) ternary (e.g. Customer bought Product on Date) or longer. Fact types facilitate natural expression are easy to populate with examples for validation purposes and have greater semantic stability than attribute-based structures such as those used in Entity Relationship Modeling (ER) or the Unified Modeling Language (UML).All relevant facts constraints and derivation rules are expressed in controlled natural language sentences that are intelligible to users in the business domain being modeled. This allows ORM data models to be validated by business domain experts who are unfamiliar with ORM's graphical notation. For the data modeler ORM's graphical notation covers a much wider range of constraints than can be expressed in industrial ER or UML class diagrams and thus allows rich visualization of the underlying semantics.Suitable for both novices and experienced practitioners this book covers the fundamentals of the ORM approach. Written in easy-to-understand language it shows how to design an ORM model illustrating each step with simple examples. Each chapter ends with a practical lab that discusses how to use the freeware NORMA tool to enter ORM models and use it to automatically generate verbalizations of the model and map it to a relational database.
Language: English
Published by Technics Publications, 2015
ISBN 10: 1634625463 ISBN 13: 9781634625463
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Object-Role Modeling Fundamentals | A Practical Guide to Data Modeling with ORM | Terry Halpin | Buch | Englisch | 2015 | Technics Publications | EAN 9781634625463 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.