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

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.