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  SPECIFICATION
DATABASE SYSTEM: A PRACTICAL APPROACH TO DESIGN IMPLEMENTATION AND MANAGEMENT 4e(pb)2012
Author: CONNOLLY
ISBN: 9788131720257
Year: 2012
Publisher: PEARSON EDUCATION ASIA
Category: DATABASE
Edition: 4
Format: Paperback
Language: English
Pages: 1374
 ABOUT THE TITLE
This book places a strong emphasis on good design practice, allowing students to master design methodology in an accessible, step-by-step fashion. A clear introduction to design implementation and management issues, as well as an extensive treatment of database languages and standards, make this boo
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 TABLE OF CONTENTS
PART I: BACKGROUND.
1.Introduction to Databases.
2. Database Environment.
PART II: THE RELATIONAL MODEL AND LANGUAGES.
3. The relational model.
4. Relational algebra and relational calculus.
5. SQL: data manipulation.
6. SQL: data definition.
7. Query-By-Example (QBE).
8. Commercial DBMSs: Access and Oracle.
PART III: DATABASE ANALYSIS AND DESIGN TECHNIQUES.
9. Database planning, design and administration.
10. Fact-finding techniques.
11. Entity-relationship modeling.
12. Enhanced entity-relationship modeling.
13. Normalization.
14. Advanced normalization.
PART IV: METHODOLOGY.
15. Methodology - conceptual database design.
16. Methodology - logical database design for relational model.
17. Methodology - physical database design for relational databases.
18. Methodology - monitoring and tuning the operational system.
PART V: SELECTED DATABASE ISSUES.
19. Security.
20. Transaction management.
21. Query processing.
22. Programming SQL.
PART VI: DISTRIBUTED DBMSs AND REPLICATION.
23. Distributed DBMSs - concepts and design.
24. Distributed DBMSs - advanced concepts.
25. Replication and mobile databases.
PART VII: OBJECT DBMSs.
26. Introduction to Object DBMSs.
27. Object-oriented DBMSs - concepts and design.
28. Object-oriented DBMSs - standards and languages.
29. Object-relational DBMSs.
PART VIII: WEB AND DBMSs.
30. Web technology and DBMSs.
31. Semistructured data and XML.
PART IX: BUSINESS INTELLIGENCE (OR DECISION SUPPORT).
32. Data warehousing concepts.
33. Data warehousing design.
34. OLAP.
35. Data mining.
APPENDICES.
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