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Chapter 1: Introduction
Part 1: Relational Databases
Chapter 2: Introduction to the Relational Model
Chapter 3: Introduction to SQL
Chapter 4: Intermediate SQL
Chapter 5: Advanced SQL
Chapter 6: Formal Relational Query Languages
Part II: Database Design
Chapter 7: Database Design and the E-R Model
Chapter 8: Relational Database Design
Chapter 9: Application Design and Development
Part III: Data Storage and Querying
Chapter 10: Storage and File Structure
Chapter 11: Indexing and Hashing
Chapter 12: Query Processing
Chapter 13: Query Optimization
Part IV: Transaction Management
Chapter 14: Transactions
Chapter 15: Concurrency Control
Chapter 16: Recovery System
Part V: System Architecture
Chapter 17: Database-System Architectures
Chapter 18: Parallel Databases
Chapter 19: Distributed Databases
Part VI: Data Mining and Information Retrieval
Chapter 20: Data Mining
Chapter 21: Information Retrieval
Part VII: Specialty Databases
Chapter 22: Object-Based Databases
Chapter 23: XML
Chapter 24: Advanced Application Development
Chapter 25: Advanced Data Types and New Applications
Chapter 26: Advanced Transaction Processing
Part IX: Case Studies
Chapter 27: PostgreSQL
Chapter 28: Oracle
Chapter 29: IBM DB2 Universal Database
Chapter 30: Microsoft SQL Server
Part X: Appendices
Appendix A: Detailed University Schema
Appendix B: Other Relational Query Languages
Appendix C: Advanced Relational Database Design
Appendix D: Network Model
Appendix E: Hierarchical Model
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Database System Concepts by Silberschatz is now in its 6th edition and is one of the cornerstone texts of database education. It presents the fundamental concepts of database management in an intuitive manner geared toward allowing students to begin working with databases as quickly as possible. Silberschatz is designed for a first course in databases at the junior/senior undergraduate level or the first year graduate level. It also contains additional material that can be used as supplements or as introductory material for an advanced course. Because the authors present concepts as intuitive descriptions, a familiarity with basic data structures, computer organization, and a high-level programming language are the only prerequisites. Important theoretical results are covered, but formal proofs are omitted. In place of proofs, figures and examples are used to suggest why a result is true.
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