000			a
999			_c34486 _d34486
008			250718b xxu||||| |||| 00| 0 eng d
020			_a9783030262556
082			_a005.758 _bOZS
100			_aOzsu, M. Tamer
245			_aPrinciples of distributed database systems
250			_a4th ed
260			_bSpringer, _c2020. _aCham :
300			_axvii, 674 p.; _billustrations (some color). _c24 cm.
365			_b56.99 _c€ _d100.30
504			_aIncludes bibliographical references and index.
520			_aThis 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.
700			_aValduriez, Patrick
942			_2ddc _cBK