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Object Relationship Notation (ORN) for Database Applications: Enhancing the Mode

Description: Object Relationship Notation (ORN) for Database Applications by Bryon K. Ehlmann Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This unique book shows how ORN can be used in UML class diagrams and database definition languages (DDLs). This will allow the reader to better model and implement relationships and thus more productively develop database applications. Publisher Description 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. Details ISBN 0387095535 ISBN-13 9780387095530 Title Object Relationship Notation (ORN) for Database Applications Author Bryon K. Ehlmann Format Hardcover Year 2009 Pages 246 Edition 2009th Publisher Springer-Verlag New York Inc. GE_Item_ID:140225191; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 140.62 USD

Location: Fairfield, Ohio

End Time: 2025-01-21T03:04:46.000Z

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Object Relationship Notation (ORN) for Database Applications: Enhancing the Mode

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9780387095530

Book Title: Object Relationship Notation (ORN) for Database Applications

Number of Pages: Xxii, 246 Pages

Language: English

Publication Name: Complex Analysis : Proceedings of the Colloquium on Complex Analysis, Joensuu, Finland, August 24-27, 1978

Publisher: Springer

Publication Year: 2009

Subject: Information Theory, Databases / Data Mining, Databases / General, Mathematical Analysis, Complex Analysis

Item Weight: 43.4 Oz

Type: Textbook

Item Length: 9.3 in

Author: Colloquium on Complex Analysis Staff

Subject Area: Mathematics, Computers

Item Width: 6.1 in

Series: Advances in Database Systems Ser.

Format: Hardcover

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