Database systems : a practical approach to design, implementation, and management

Connolly, Thomas M.

Database systems : a practical approach to design, implementation, and management - 3rd Edition. - New Delhi ; Pearson Education ; 2002. - xlix, 1236 p. : illustrations ;

Included Index.

1. Introduction to Databases. --
2. Database Environment. --
3. The Relational Model. --
4. Relational Algebra and Relational Calculus. --
5. SQL: Data Manipulation. --
6. SQL: Data Definition. --
7. Query-By-Example. --
8. Commercial RDBMSs: Access and Oracle. --
9. Database Planning, Design, and Administration. --
10. Fact-Finding Techniques. --
11. Entity-Relationship Modeling. --
12. Enhanced Entity-Relationship Modeling. --
13. Normalization. --
14. Methodology --
Conceptual Database Design. --
15. Methodology --
Logical Database Design for the Relational Model. --
16. Methodology --
Physical Database Design for Relational Databases. --
17. Methodology --
Monitoring and Tuning the Operational System. --
18. Security. --
19. Transaction Management. --
20. Query Processing. --
21. Programmatic SQL. --
22. Distributed DBMSs --
Concepts and Design. --
23. Distributed DBMSs --
Advanced Concepts. --
24. Introduction to Object DBMSs. --
25. Object-Oriented DBMSs --
Concepts and Design. --
26. Object-Oriented DBMSs --
Standards and Systems. --
27. Object-Relational DBMSs. --
28. Web Technology and DBMSs. --
29. Semistructured Data and XML. --
30. Data Warehousing Concepts. --
31. Data Warehousing Design. --
32. OLAP and Data Mining. --
Appendix A. Users' Requirements Specification for DreamHome Case Study. --
Appendix B. Other Case Studies. --
Appendix C. File Organization and Storage Structures. --
Appendix D. When is DBMS Relational? --
Appendix E. Alternative ER Modeling Notations. --
Appendix F. Summary of the Database Design Methodology for Relational Databases. --
Appendix G. Estimating Disk Space Requirements. --
Appendix H. Example Web Scripts.

This text includes material on distributed databases, object-oriented databases, data mining, data warehouses, multimedia databases and the Internet and provides a strong foundation in good design practice.

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Database design.
Database management.

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