Edité par Technics Publications (edition First Edition), 2015
ISBN 10 : 1634620747 ISBN 13 : 9781634620741
Langue: anglais
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Ajouter au panierPaperback. Etat : Very Good. First Edition. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Ajouter au panierPaperback. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.79.
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Edité par Technics Publications 5/15/2015, 2015
ISBN 10 : 1634620747 ISBN 13 : 9781634620741
Langue: anglais
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Ajouter au panierPaperback or Softback. Etat : New. Object-Role Modeling Fundamentals: A Practical Guide to Data Modeling with Orm 0.76. Book.
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Edité par Technics Publications 5/15/2015, 2015
ISBN 10 : 1634625463 ISBN 13 : 9781634625463
Langue: anglais
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
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Ajouter au panierHardback or Cased Book. Etat : New. Object-Role Modeling Fundamentals: A Practical Guide to Data Modeling with ORM 1.21. Book.
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Ajouter au panierEtat : New. pp. 192.
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Edité par Technics Publications Mai 2015, 2015
ISBN 10 : 1634620747 ISBN 13 : 9781634620741
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 45,54
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Ajouter au panierTaschenbuch. Etat : 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.
Vendeur : moluna, Greven, Allemagne
EUR 35,97
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Ajouter au panierKartoniert / Broschiert. Etat : 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.
Edité par Technics Publications LLC, 2015
ISBN 10 : 1634620747 ISBN 13 : 9781634620741
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 37,08
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 466.
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Ajouter au panierHardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 549.
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierBuch. Etat : 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.