Object Relationship Notation Orn for Database Applications
Language: English
Published by Springer, 2009
- Hardcover
- New

Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
AbeBooks seller since January 28, 2020
Condition: New
US$ 134.87
Quantity: Over 20 available
Add to basketSeller Inventory # 6091485-n
- Title
- Object Relationship Notation Orn for Database Applications
- Author
- Ehlmann, Bryon K.
- Publisher
- Springer
- Publication year
- 2009
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0387095535
- ISBN 13
- 9780387095530
- Series
- Book 30 of 42: Advances in Database Systems
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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 volume 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.
"About the title" may belong to another edition of this title.
GreatBookPricesUK
Woodford Green, United Kingdom
AbeBooks seller since January 28, 2020
Shipping rates from United Kingdom to U.S.A.
| Item | 10 to 27 business days | 10 to 30 business days |
|---|---|---|
| First item | US$ 20.27 | US$ 20.27 |
Payment methods
Store description
Specialty
TradeBooksSeller's business information
Far Corner Europe Limited
19-20 Bourne Court, 19-20 Bourne Court
Woodford Green, United Kingdom IG8 8HD
Terms of sale
Company Name: GreatBookPricesUK
Legal Entity: Far Corner Europe Limited
Address: 19-20 Bourne Court, Southend Road, Woodford Green Essex, UK IG8 8HD
Registration #: 10691061
Authorized representative: Danielle Hainsey
Shipping terms
Our warehouses across the globe are fully operational without substantial delays. We are working hard and continue to overcome the daily challenges presented by COVID-19. There have been reports that delivery carriers are experiencing large delays resulting in longer than normal deliveries to customers. See USPS's website for further detail. We would like to apologize in advance if your item arrives later than the expected delivery due date.
Internal processing of your order will take about 1-2 business days. Please allow an additional 4-14 business days for Media Mail delivery. We have multiple ship-from locations - MD,IL,NJ,UK,IN,NV,TN & GA