Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
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Aggiungi al carrelloPaperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.79.
Da: California Books, Miami, FL, U.S.A.
EUR 30,72
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Editore: Technics Publications 5/15/2015, 2015
ISBN 10: 1634620747 ISBN 13: 9781634620741
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 28,18
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Object-Role Modeling Fundamentals: A Practical Guide to Data Modeling with Orm 0.76. Book.
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: moluna, Greven, Germania
EUR 33,06
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Aggiungi al carrelloCondizione: 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.
Da: California Books, Miami, FL, U.S.A.
EUR 36,87
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Editore: Technics Publications 5/15/2015, 2015
ISBN 10: 1634625463 ISBN 13: 9781634625463
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 33,19
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Aggiungi al carrelloHardback or Cased Book. Condizione: New. Object-Role Modeling Fundamentals: A Practical Guide to Data Modeling with ORM 1.21. Book.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Best Price, Torrance, CA, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 34,38
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 35,89
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Da: Best Price, Torrance, CA, U.S.A.
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Da: Books Puddle, New York, NY, U.S.A.
EUR 47,73
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 46,61
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Editore: Technics Publications Mai 2015, 2015
ISBN 10: 1634620747 ISBN 13: 9781634620741
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 41,49
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 42,84
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 44,24
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Da: Once Upon A Time Books, Siloam Springs, AR, U.S.A.
EUR 5,38
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Aggiungi al carrellopaperback. Condizione: Acceptable. This is a used book. It may contain highlighting/underlining and/or the book may show heavier signs of wear . It may also be ex-library or without dustjacket. This is a used book. It may contain highlighting/underlining and/or the book may show heavier signs of wear . It may also be ex-library or without dustjacket.
Editore: Technics Publications (edition First Edition), 2015
ISBN 10: 1634620747 ISBN 13: 9781634620741
Lingua: Inglese
Da: BooksRun, Philadelphia, PA, U.S.A.
Prima edizione
EUR 12,36
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Aggiungi al carrelloPaperback. Condizione: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 26,18
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 36,49
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 466.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 45,28
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 549.
Da: Majestic Books, Hounslow, Regno Unito
EUR 47,04
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 192.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 49,36
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 192.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 52,62
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Aggiungi al carrelloBuch. Condizione: 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.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 75,19
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.