Database System Concepts
Abraham Silberschatz, Henry F. Korth, S. Sudarshan
- 7
- New York : McGraw-Hill, 2020
- 1344
Chapter 1: Introduction Part One: Relational Languages Chapter 2: Introduction to the Relational Model Chapter 3: Introduction to SQL Chapter 4: Intermediate SQL Chapter 5: Advanced SQL Part Two: Database Design Chapter 6: Database Design using the E-R model Chapter 7: Relational Database Design Part Three: Application Design and Development Chapter 8: Complex Data Types Chapter 9: Application Development Part Four: Big Data Analytics Chapter 10: Big Data Chapter 11: Data Analytics Part Five: Storage Management and Indexing Chapter 12: Physical Storage Systems Chapter 13: Data Storage Structures Chapter 14: Indexing Part Six: Query Processing and Optimization Chapter 15: Query Processing Chapter 16: Query Optimization Part Seven: Transaction Management Chapter 17: Transactions Chapter 18: Concurrency Control Chapter 19: Recovery Systems Part Eight: Parallel and Distributed Databases Chapter 20: Database System Architectures Chapter 21: Parallel and Distributed Storage Chapter 22: Parallel and Distributed Query Processing Chapter 23: Parallel and Distributed Transaction Processing Part Nine: Advanced Topics Chapter 24: Advanced Indexing Techniques Chapter 25: Advanced Application Development Chapter 26: Blockchain Databases Part Ten: Appendix A Part Eleven: Online Chapters Chapter 27 Formal Relational Query Languages Chapter 28 Advanced Relational Database Design Chapter 29 Object-Based Databases Chapter 30 XML Chapter 31 Information Retrieval Chapter 32 PostgreSQL
Database System Concepts presents the fundamental concepts of database management in an intuitive manner geared toward allowing students to begin working with databases as quickly as possible. 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. Extensive coverage of Big Data systems, from the user perspective, as well as from an internal perspective with extensive additions and modifications