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- DescriptionObject-Role Modeling (ORM) is a fact-based approach to data modelling 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 kwn as fact types, where the relationship may be unary (eg: Person smokes), binary (eg: Person was born on Date), ternary (eg: 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 modelled. This allows ORM data models to be validated by business domain experts who are unfamiliar with ORM's graphical tation. For the data modeller, ORM's graphical tation covers a much wider range of constraints than can be expressed in industrial ER or UML class diagrams, and thus allows rich visualisation of the underlying semantics. Written as a sequel to the author's previous book Object-Role Modeling Fundamentals , this book briefly reviews the fundamentals of ORM, and then discusses additional topics such as model reports generation, vocabulary glossaries, relational mapping options, antated relational schemas, schema optimisation, and data modelling patterns. Written in easy-to-understand language, it illustrates each topic with simple examples, and explains how to use the freeware NORMA tool to implement the ideas discussed. The book also includes many practical exercises to promote expertise in the techniques covered, with answers provided to all the exercise questions.
- Author BiographyDr Terry Halpin is internationally recognized as the leading authority on ORM. Currently a data modeling consultant and an adjunct professor in computer science, he has many years of experience in developing and teaching data modeling technology in both industry and academia. He has authored over 200 technical publications and nine books, and has co-edited nine books on information systems modeling research. He is an associate editor or reviewer for several academic journals, is a regular columnist for the Business Rules Journal, and is a recipient of the DAMA International Achievement Award for Education and the IFIP Outstanding Service Award.
- Author(s)Terry Halpin
- PublisherTechnics Publications LLC
- Date of Publication01/01/2016
- SubjectComputing: Textbooks & Study Guides
- Place of PublicationBradley Beach
- Country of PublicationUnited States
- ImprintTechnics Publications LLC
- Weight398 g
- Width115 mm
- Height235 mm
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