Database systems : a practical approach to design, implementation, and management / Thomas M. Connolly and Carolyn E. Begg
Publication details: Essex : Pearson Education, 2002. Edition: 3rd edDescription: xlix, 1236 p. : ill. ; 23 cmISBN: 0201708574Subject(s): 1. Database design | 2. Database management | I. Begg, Carolyn E | II. Title | III. SeriesDDC classification: 005.74 CON| Item type | Current library | Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
English Lending
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Villa College Library | Villa College Library | 005.74 CON (Browse shelf(Opens below)) | Available | 129 |
CONTENT
Pt.1. Background
Ch.1. Introduction to Databases.
Ch.2. Database Environment.
Pt.2. The relational model and languages
Ch.3.The Relational Model.
Ch.4. Relational Algebra and Relational Calculus.
Ch 5. SQL: Data Manipulation.
Ch 6. SQL: Data Definition.
Ch 7. Query-By-Example.
Ch 8. Commercial RDBMSs: Access and Oracle.
Pt.3. Database analysis and design techniques
Ch 9. Database Planning, Design, and Administration.
Ch 10. Fact-Finding Techniques.
Ch 11. Entity-Relationship Modeling.
Ch 12. Enhanced Entity-Relationship Modeling.
Ch 13. Normalization.
Ch 14. Methodology - Conceptual Database Design.
Ch 15. Methodology - Logical Database Design for the Relational Model.
Ch 16. Methodology - Physical Database Design for Relational Databases.
Ch 17. Methodology - Monitoring and Tuning the Operational System.
Pt.5. Selected database issues
Ch 18. Security.
Ch 19. Transaction Management.
Ch 20. Query Processing.
Ch 21. Programmatic SQL.
Pt.6. Current trends
Ch 22. Distributed DBMSs - Concepts and Design.
Ch 23. Distributed DBMSs - Advanced Concepts.
Ch 24. Introduction to Object DBMSs.
Ch 25. Object-Oriented DBMSs - Concepts and Design.
Ch 26. Object-Oriented DBMSs - Standards and Systems.
Ch 27. Object-Relational DBMSs.
Pt.7. Emerging trends
Ch 28. Web Technology and DBMSs.
Ch 29. Semistructured Data and XML.
Ch 30. Data Warehousing Concepts.
Ch 31. Data Warehousing Design.
Ch 32. OLAP and Data Mining.
Includes bibliographical references and index
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