Principles of Distributed Database Systems

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Product Description

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.

Principles of Distributed Database Systems Review

A typical database course should cover design aspects, query processing, and transaction management. My course is structured along these lines and the book provides the coverage I need. I find all three topics: design, query processing, and transaction management, equally challenging. They all involve conceptual understanding and algorithmic depth.

Generally speaking, the authors did a good job in compiling multiple research efforts into a coherent textbook. The textbook has a leading (rather simple) case study example that serves well in tying together different research efforts. At times, this effort trivializes matters and this is where I, as an instructor, should step in and provide some additional explanation. The manuscript provides a good depth in both conceptual and algorithmic solutions. The use of examples throughout improves understanding a lot, especially for undergrads. The example is mostly clear.

This textbook is the only textbook I know of that provides technical depth for the area of distributed databases. This is important when teaching engineering students.

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