This, the third edition of the classic textbook explores fundamental theory as well as practical techniques and algorithms, and features fresh chapters on aspects such as database replication and integration as well as emerging topics such as cloud computing.

This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced a renewal of interest in distributed and parallel data management, while, at the same time, requiring a rethinking of some of the traditional techniques. This book covers the breadth and depth of this re-emerging field. The coverage consists of two parts. The first part discusses the fundamental principles of distributed data management and includes distribution design, data integration, distributed query processing and optimization, distributed transaction management, and replication. The second part focuses on more advanced topics and includes discussion of parallel database systems, distributed object management, peer-to-peer data management,web data management, data stream systems, and cloud computing. New in this Edition: • New chapters, covering database replication, database integration, multidatabase query processing, peer-to-peer data management, and web data management. • Coverage of emerging topics such as data streams and cloud computing • Extensive revisions and updates based on years of class testing and feedback Ancillary teaching materials are available.

Third edition of leading textbook on the topic Distributed data management re-emerging as key topic with increasing growth of web, cloud, cluster computing Covers both traditional material and emerging areas Ancillary teaching materials available Includes supplementary material: sn.pub/extras

Autorentext
M. Tamer Özsu is a professor of computer science at the University of Waterloo, Canada. He has been conducting research in distributed data management for thirty years. He serves on the editorial boards of many journals and book series, and is also the co-editor-in-chief, with Ling Liu, of the Encyclopedia of Database Systems. Patrick Valduriez is a senior researcher at INRIA, France and the head of the Zenith research group pursuing research in scientific data management in distributed systems. He has also served as a professor of computer science at University Paris 6. He has authored and co-authored over 200 technical papers and several books.

Inhalt
Introduction.- Background.- Distributed Database Design.- Database Integration.- Data and Access Control.- Overview of Query Processing.- Query Decomposition and Data Localization.- Optimization of Distributed Queries.- Multidatabase Query Processing.- Introduction to Transaction Management.- Distributed Concurrency Control.- Distributed DBMS Reliability.- Data Replication.- Parallel Database Systems.- Distributed Object Database Management.- Peer-to-Peer Data Management.- Web Data Management.- Current Issues.- References.- Index