Description: Object Relationship Notation (ORN) for Database Applications Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Enhancing the Modeling and Implementation of Associations Author(s): Bryon K. Ehlmann Format: Hardback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9780387095530, 978-0387095530 Synopsis Conceptually, a database consists of objects and relationships. Object Relationship Notation (ORN) is a simple notation that more precisely defines relationships by combining UML multiplicities with uniquely defined referential actions. This book shows how ORN can be used in UML class diagrams and database definition languages (DDLs) to better model and implement relationships and thus more productively develop database applications. For the database developer, it presents many examples of relationships modeled using ORN-extended class diagrams and shows how these relationships are easily mapped to an ORN-extended SQL or Object DDL. For the DBMS developer, it presents the specifications and algorithms needed to implement ORN in a relational and object DBMS. This book also describes tools that can be downloaded or accessed via the Web. These tools allow databases to be modeled using ORN and implemented using automatic code generation that adds ORN support to Microsoft SQL Server and Progress Object Store. Object Relationship Notation (ORN) for Database Applications: Enhancing the Modeling and Implementation of Associations is written for research scientists, research libraries, professionals, and advanced-level students in computer science.
Price: 73.39 GBP
Location: Aldershot
End Time: 2025-01-29T14:28:59.000Z
Shipping Cost: 38.69 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 60 days
Return policy details:
Book Title: Object Relationship Notation (ORN) for Database Applications
Number of Pages: 246 Pages
Publication Name: Object Relationship Notation (ORN) for Database Applications: Enhancing the Modeling and Implementation of Associations
Language: English
Publisher: Springer-Verlag New York Inc.
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2009
Type: Textbook
Item Weight: 1230 g
Subject Area: Information Science
Author: Bryon K. Ehlmann
Item Width: 155 mm
Series: Advances in Database Systems
Format: Hardcover
