E-MOIDU MOULAVI
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M.E.S PONNANI COLLEGE

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DATABASE SYSTEM CONCEPTS

By: SILBERSCHATZ, ABRAHAM | KORTH, HENRY .F | SUDARSHAN, SMaterial type: TextTextPublisher: New York McGraw-Hill 2001Edition: 6thDescription: 1349pISBN: 9789332901384; 9780071289597Subject(s): Computer science | Database | SQL | Big data | Data analyticsDDC classification: 005.74 SIL/D Summary: 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 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
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005.74 SIL/D DATABASE SYSTEM CONCEPTS 005.74 SIL/D DATABASE SYSTEM CONCEPTS 005.74 SIL/D DATABASE SYSTEM CONCEPTS 005.74 SIL/D DATABASE SYSTEM CONCEPTS 005.74 SIL/D DATABASE SYSTEM CONCEPTS 005.74 SIL/D Database system concepts 005.756 5 TAX/FO FOXPRO 2.5

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

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

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