Database Systems

Description

• 1 The Worlds of Database Systems
• 2 The Relational Model of Data
• 3 Design Theory for Relational Databases
• 4 High-Level Database Models
• 5 Algebraic and Logical Query Languages
• 6 The Database Language SQL
• 7 Constraints and Triggers
• 8 Views and Indexes
• 9 SQL in a Server Environment
• 10 Advanced Topics in Relational Databases
• 11 The Semistructured-Data Model
• 12 Programming Languages for XML
• 13 Secondary Storage Management
• 14 Index Structures
• 15 Query Execution
• 16 The Query Compiler
• 17 Coping With System Failures
• 18 Concurrency Control
• 19 More About Transaction Management
• 20 Parallel and Distributed Databases
• 21 Information Integration
• 22 Data Mining
• 23 Database Systems and the Internet

Hector Garcia-Molina is the L. Bosack and S. Lerner Professor of Computer Science and Electrical Engineering at Stanford University. His research interests include digital libraries, information integration, and database applications on the Internet. He was a recipient of the SIGMOD Innovations Award and a member of PITAC (President’s Information-Technology Advisory Council). He currently serves on the Board of Directors of Oracle Corp.

Jeffrey D. Ullman is the Stanford W. Ascherman Professor of Computer Science (emeritus) at Stanford University. He is the author or co-author of 16 books, including Elements of ML Programming (Prentice Hall 1998). His research interests include data mining, information integration, and electronic education. He is a member of the National Academy of Engineering, and recipient of a Guggenheim Fellowship, the Karl V. Karlstom Outstanding Educator Award, the SIGMOD Contributions and Edgar F. Codd Innovations Awards, and the Knuth Prize.

Jennifer Widom is Professor of Computer Science and Electrical Engineering at Stanford University. Her research interests span many aspects of nontraditional data management. She is an ACM Fellow and a member of the National Academy of Engineering, she received the ACM SIGMOD Edgar F. Codd Innovations award in 2007 and was a Guggenheim Fellow in 2000, and she has served on a variety of program committees, advisory boards, and editorial boards.

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Written by well-known computer scientists, this introduction to database systems offers a comprehensive approach, focusing on database design, database use, and implementation of database applications and database management systems.

The first half of the book provides in-depth coverage of databases from the point of view of the database designer, user, and application programmer. It covers the latest database standards SQL:1999, SQL/PSM, SQL/CLI, JDBC, ODL, and XML, with broader coverage of SQL than most other texts. The second half of the book provides in-depth coverage of databases from the point of view of the DBMS implementor. It focuses on storage structures, query processing, and transaction management. The book covers the main techniques in these areas with broader coverage of query optimization than most other texts, along with advanced topics including multidimensional and bitmap indexes, distributed transactions, and information integration techniques.

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• Chapters have been extensively reorganized and augmented.
• Relational modeling is covered in chapters 2-4.
• Chapter 4 is devoted to high-level modeling, and includes the E/R model as well as UML (Unified Modeling Language).
• The viewpoint of Chapter 3 – which focuses on functional and multivalued dependencies – has been modified, so that a functional dependency is now assumed to have a set of attributes on the right. Explicitly certain algorithms, including the “chase,” allow us to manipulate dependencies. The discussion of third normal form has been augmented to include the 3NF synthesis algorithm and to delineate the tradeoff between 3NF and BCNF.
• Chapter 5 contains the coverage of relational algebra from the previous edition, and is joined by (part of) the treatment of Datalog from the old Chapter 10.
• The discussion of recursion in Datalog is either moved to the book’s Web site or combined with the treatment of recursive SQL in Chapter 10 of this edition.
• Chapters 6-10 are devoted to aspects of SQL programming, and they represent a reorganization and augmentation of the earlier book’s Chapters 6, 7, 8, and parts of 10. The material on indexes and views has been moved to its own chapter, number 8, and this material has been augmented with a discussion of important new topics, including materialized views, and automatic selection of indexes.
• The New Chapter 9 is based on the old Chapter 8 (embedded SQL). It is introduced by a new section on 3-tiered architecture. It also includes an expanded discussion of JDBC and new coverage of PHP.
• Chapter 10 collects a number of advanced SQL topics, including the nested-relation model, object-relational features of SQL, and data cubes.
• Chapters 11 and 12, covering XML and XML-based systems, contain new and expanded material on modeling and programming, including XML schema, DTD’s, XPath, XQuery, and XSLT.
• Chapter 20, covering parallel and distributed databases, includes new sections on distributed query execution, the map-reduce framework for parallel computation, peer-to-peer databases and their implementation of distributed hash tables.
• New sections on local-as-view mediators and entity resolution have been added to Chapter 21, which covers information integration.
• The expanded data mining chapter includes material on association rules and frequent itemset mining, including both the famous A-Priori Algorithm and certain efficiency improvements. Key techniques of shingling, minhashing, locality-sensitive hashing, and clustering have been added.
• An entirely new Chapter 23 addresses ways in which the Internet has impacted database technology through search engines and data-stream management systems.

Database Systems: The Complete Book is ideal for Database Systems and Database Design and Application courses offered at the junior, senior and graduate levels in Computer Science departments. A basic understanding of algebraic expressions and laws, logic, basic data structure, OOP concepts, and programming environments is implied.

Written by well-known computer scientists, this introduction to database systems offers a comprehensive approach, focusing on database design, database use, and implementation of database applications and database management systems.
 
The first half of the book provides in-depth coverage of databases from the point of view of the database designer, user, and application programmer. It covers the latest database standards SQL:1999, SQL/PSM, SQL/CLI, JDBC, ODL, and XML, with broader coverage of SQL than most other texts. The second half of the book provides in-depth coverage of databases from the point of view of the DBMS implementor. It focuses on storage structures, query processing, and transaction management. The book covers the main techniques in these areas with broader coverage of query optimization than most other texts, along with advanced topics including multidimensional and bitmap indexes, distributed transactions, and information integration techniques.

• Many real-world examples.

  • Offers a readable and engaging presentation.

• Extensive treatment of database modeling–Includes detailed and separate explanations of how to use E/R and ODL to design databases.

  • Teaches about this important first step of the planning process.

• Excellent, detailed coverage of SQL–Includes coverage of object-relational systems and many aspects of the new SQL:1999 standard.

  • Provides a more extensive treatment of query processing than other books on the market.

• Discussion of the technologies used to connect database programming with C or Java code–Includes discussions of SQL/PSM, SQL/CLI, and JDBC.

  • Gives students practical advice on integrating state-of-the-art technologies with databases.

• Coverage of advanced issues important to database designers and users.

  • Includes discussions of views, integrity constraints, assertions, triggers, transactions, authorisation, and recursion in SQL:1999.

• Discussions of how to successfully plan a database application before building it.

  • Reflects how these plans are developed in the real world.

• Coverage of topics such as designing storage structures and implementing a variety of indexing schemes.

  • Shows students how to build efficient database management systems.

• Extensive coverage of query processing and optimisation.

  • Shows students how to fine tune database systems to improve performance.

• Comprehensive coverage of transaction processing mechanisms for concurrency control and recovery, including distributed and long-duration transactions.

  • Shows how to design complex database systems that can handle real-world business applications.

• Coverage of information integration, including data warehousing, mediation, OLAP, data-cube systems, and data mining.

  • Exposes readers to cutting edge technology used in business applications.

• Extensive exercises–In almost every section.

  • Provides students with the opportunity to practice and apply the concepts they’ve learned in each chapter.

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