Data Management: Databases & Organizations, 5th Edition
August 2005, ©2006
Updated with the latest developments in the field, the Fifth Edition will help you design and create relational databases, formulate complex SQL queries, understand database architectures and their managerial implications, and prepare yourself for the real world of data management.
1. Managing Data.
Data Modeling and SQL.
3. The Single Entity.
4. The One-to-Many Relationship.
5. The Many-to-Many Relationship.
6. One-to-One and Recursive Relationships.
7. Data Modeling.
8. Normalization and Other Data Modeling Methods.
9. The Relational Model and Relational Algebra.
Database Architectures and Implementations.
11. Data Structure and Storage.
12. Data Processing Architectures.
13. Object-Oriented Data Management.
14. Spatial and Temporal Data Management.
Organizational Memory Technologies.
15. Organizational Intelligence Technologies.
16. The Web and Data Management.
17. SQL and Java.
18. XML: Managing Data Exchange.
Managing Organizational Memory.
19. Data Integrity.
20. Data Administration.
21. U-Commerce and Data Management.
Watson has published around 100 refereed articles, written or edited more than 10 books (including a data management textbook). He has served as a senior editor for MIS Quarterly and was co-conference chair forr ICIS2004. He is currently the President of the Association for Information Systems. His current research interests are u-commerce, net-based customer service systems, open source, and information systems leadership. He collaborates with researchers in several countries, including Australia, Brazil, Canada, China, France, Germany, Italy, Norway, and Singapore.
A new chapter on embedded SQL in Java and JDBC
A section on multidimensional expressions (MDX)
New material on content management systems (CMS) and wiki technology
Greater focus on MySQL
Increased coverage of mandatory and optional elements in data modeling
A focus on the fundamental skills--data modeling and SQL
Reference sections on data modeling and SQL
A broad managerial perspective provides the "big picture" of data management
Readability--reviewers consistently comment that students find this a very readable text
Extensive Web support
Exceptional customer service--the author regularly emails adopters with teaching hints, exam questions, class exercises, etc.
A case study on developing a data model and using SQL that runs through Chapters 3 - 6