This particular third edition of your classic textbook can be used to teach at your senior undergraduate and graduate levels. The material concentrates on fundamental theories and also techniques and algorithms. The advent on the Internet and the internet, and, more recently, the emergence of cloud computing and streaming data programs, has forced any renewal of involvement in distributed and parallel data management, while, as well, requiring a rethinking of some of the traditional techniques. This book insures the breadth and depth on this re-emerging field. The coverage involves two parts. The first part discusses 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 concentrates 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 with this Edition:
- Brand-new chapters, covering data base replication, database integration, multidatabase query processing, peer-to-peer data management, and world wide web data management.
- Coverage of emerging topics such as data streams and cloud computing.
- Intensive revisions and updates determined by years of class testing and comments Ancillary teaching materials are offered.
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