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Fundamentals of Database Systems, Global Edition, 7th edition

Published by Pearson (August 19, 2016) © 2017

  • Ramez Elmasri University of Texas at Arlington
  • Shamkant B. Navathe Georgia Institute of Technology

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For database systems courses in Computer Science

This book introduces the fundamental concepts necessary for designing, using, and implementing database systems and database applications. Our presentation stresses the fundamentals of database modeling and design, the languages and models provided by the database management systems, and database system implementation techniques.

The book is meant to be used as a textbook for a one- or two-semester course in database systems at the junior, senior, or graduate level, and as a reference book. The goal is to provide an in-depth and up-to-date presentation of the most important aspects of database systems and applications, and related technologies. It is assumed that readers are familiar with elementary programming and data-structuring concepts and that they have had some exposure to the basics of computer organisation.

Fundamentals of Database Systems contains the following features to facilitate learning:

UPDATED! Chapters have been reorganized to allow for flexible use of material

  • Instructors can choose the order in which they want to present materials, offering adaptability to classroom and course needs.
  • A dependency chart is provided that guides instructors in deciding course flow.

UPDATED! Chapters have been added and restructured to keep the text up-to-date with recent concepts and technology regarding database systems

  • NEW! Two chapters have been added on recent advances in database systems and big data processing.
  • NEW! Chapter 24 introduces students to NSQL databases, a new class of database systems.
  • NEW! Chapter 25 covers technologies used to process big data, including MapReduce and Hadoop.
  • NEW! Discussions of new technologies such as SQL systems and java technologies for web database programming, newer buffer replacements and techniques used in DMBSs, and other various new developments in databases are discussed throughout.

UPDATED! Pedagogy and real world examples enhance the text throughout

  • NEW! UNIVERSITY and COMPANY database examples have been added to chapters 3-8.
  • A companion website allows students to try real lab exercises outside of the classroom.
  • Supplements, including powerpoint slides, text figures, and an instructors guide are provided throughout.

Fundamentals of Database Systems contains the following features to facilitate learning:

Chapters have been reorganized to allow for flexible use of material

  • Instructors can choose the order in which they want to present materials, offering adaptability to classroom and course needs.
  • A dependency chart is provided that guides instructors in deciding course flow.

Chapters have been added and restructured to keep the text up-to-date with recent concepts and technology regarding database systems

  • Two chapters have been added on recent advances in database systems and big data processing.
  • Chapter 24 introduces students to NSQL databases, a new class of database systems.
  • Chapter 25 covers technologies used to process big data, including MapReduce and Hadoop.
  • Discussions of new technologies such as SQL systems and java technologies for web database programming, newer buffer replacements and techniques used in DMBSs, and other various new developments in databases are discussed throughout.

UPDATED! Pedagogy and real world examples enhance the text throughout

  • UNIVERSITY and COMPANY database examples have been added to chapters 3-8.

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  • Part 1: Introduction to Databases
  • Chapter 1: Databases and Database Users
  • Chapter 2: Database Systems Concepts and Architecture
  • Part 2: Conceptual Data Modeling and Database Design
  • Chapter 3: Data Modeling Using the Entity Relationship (ER) Model
  • Chapter 4: The Enhanced Entity Relationship (EER) Model
  • Part 3: The Relational Data Model and SQL
  • Chapter 5: The Relational Data Model and Relational Database Constraints
  • Chapter 6: Basic SQL
  • Chapter 7: More SQL: Complex Queries, Triggers, Views, and Schema Modification
  • Chapter 8: The Relational Algebra and Relational Calculus
  • Chapter 9: Relational Database Design by ER- and EER-to-Relational Mapping
  • Part 4: Database Programming Techniques
  • Chapter 10: Introduction to SQL Programming Techniques
  • Chapter 11: Web Database Programming Using PHP
  • Part 5: Object, Object-Relational, and XML: Concepts, Models, Languages, and Standards
  • Chapter 12: Object and Object-Relational Databases
  • Chapter 13: XLM: Extensible Markup Language
  • Part 6: Database Design Theory and Normalization
  • Chapter 14: Basics of Functional Dependencies and Normalization for Relational Databases
  • Chapter 15: Relational Database Design Algorithms and Further Dependencies
  • Part 7: File Structures, Hashing, Indexing, and Physical Database Design
  • Chapter 16: Disc Storage, Basic File Structures, Hashing, and Modern Storage Architectures
  • Chapter 17: Indexing Structures for Files and Physical Database Design
  • Part 8: Query Processing and Optimization
  • Chapter 18: Strategies for Query Processing
  • Chapter 19: Query Optimization
  • Part 9: Transaction Processing, Concurrency Control, and Recovering
  • Chapter 20: Introduction to Transaction Processing Concepts and Theory
  • Chapter 21: Concurrency Control Techniques
  • Chapter 22: Database Recovery Techniques
  • Part 10: Distributed Databases, NOSQL Systems, Cloud Computing, and Big Data
  • Chapter 23: Distributed Database Concepts
  • Chapter 24: NOSQL Databases and Big Data Storage Systems
  • Chapter 25: Big Data Technologies Based on MapReduce and Hadoop
  • Part 11: Advanced Database Models, Systems, and Applications
  • Chapter 26: Enhanced Data Models: Introduction to Active, Temporal, Spatial, Multimedia, and Deductive Databases
  • Chapter 27: Introduction to Information Retrieval and Web Search
  • Chapter 28: Data Mining Concepts
  • Chapter 29: Overview of Data Warehousing and OLAP
  • Part 12: Additional Database Topics: Security
  • Chapter 30: Database Security
  • Appendix A: Alternative Diagrammatic Notations for ER Models
  • Appendix B: Parameters of Disks
  • Appendix C: Overview of the QBE Language
  • Appendix D: Overview of the Hierarchical Data Model
  • Appendix E: Overview of the Network Data Model

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