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Database Systems: A Practical Approach to Design, Implementation, and Management: Global Edition
This book is ideal for a one- or two-term course in database management or database design in an undergraduate or graduate level course. With its comprehensive coverage, this book can also be used as a reference for IT professionals. This best-selling text introduces the theory behind databases in a...
| Κύριος συγγραφέας: | |
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| Άλλοι συγγραφείς: | |
| Μορφή: | Printed Book |
| Έκδοση: |
Harlow, Essex, England
Pearson Education Limited
2015
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| Έκδοση: | 6th ed. |
| Θέματα: |
Πίνακας περιεχομένων:
- Part 1: Background
- 1. Introduction to databases
- 2. Database environment
- 3. Database architectures and the web
- Part 2: The Relation Model and Languages
- 4. The relational model
- 5. Relational algebra and relational calculus
- 6. SQL: Data manipulation
- 7. SQL: Data definition
- 8. Advanced SQL
- 9. Object-relational DBMSs
- Part 3: Database Analysis and Design
- 10. Database system development lifecycle
- 11. Database analysis and the 'DreamHome' case study
- 12. Entity-relationship modeling
- 13. Enhanced entity-relationship modeling
- 14. Normalization
- 15. Advanced normalization
- Part 4: Methodology
- 16. Methodology: Conceptual database design
- 17. Methodology: Logical database design for the relational model
- 18. Methodology: Physical database design for relational databases
- 19. Methodology: Monitoring and tuning the operational system
- Part 5: Selected Database Issues
- 20. Security and administration
- 21. Professional, legal, and ethical issues in data management
- 22. Transaction management
- 23. Query processing
- Part 6: Distributed DBMSs and Replication
- 24. Distributed DBMSs: Concepts and design
- 25. Distributed DBMSs: Advanced concepts
- 26. Replication and mobile databases
- Part 7: Object DBMSs
- 27. Object-oriented DBMSs: Concepts and design
- 28. Object-oriented DBMSs: Standards and systems
- Part 8: The Web and DBMSs
- 29. Web technology and DBMSs
- 30. Semistructured data and XML
- Part 9: Business Intelligence
- 31. Data warehousing concepts
- 32. Data warehousing design
- 33. OLAP
- 34. Data mining
- Appendices.