Description: 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.
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EAN: 9781634620741
UPC: 9781634620741
ISBN: 9781634620741
MPN: N/A
Book Title: Object-Role Modeling Fundamentals: A Practical Gui
Item Length: 23.5 cm
Number of Pages: 192 Pages
Language: English
Publication Name: Object-Role Modeling Fundamentals: a Practical Guide to Data Modeling with Orm
Publisher: Technics Publications LLC
Publication Year: 2015
Subject: Computer Science
Item Height: 235 mm
Item Weight: 384 g
Type: Textbook
Author: Dr Terry Halpin
Item Width: 190 mm
Format: Paperback