Object Relationship Notation ORN for Database Applications is popular PDF and ePub book, written by Bryon K. Ehlmann in 2009-06-05, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Object Relationship Notation ORN for Database Applications can be Read Online from any device for your convenience.

Object Relationship Notation ORN for Database Applications Book PDF Summary

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.

Detail Book of Object Relationship Notation ORN for Database Applications PDF

Object Relationship Notation  ORN  for Database Applications
  • Author : Bryon K. Ehlmann
  • Release : 05 June 2009
  • Publisher : Springer Science & Business Media
  • ISBN : 9780387095547
  • Genre : Computers
  • Total Page : 256 pages
  • Language : English
  • PDF File Size : 14,8 Mb

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