Includes bibliographical references (pages 511-539) and index.

Print version record.

Part I: Introduction: Introduction -- Analytical models -- Part II: Basic query parallelism: Parallel search -- Parallel sort and group-by -- Parallel join -- Part III: Advanced parallel query processing -- Parallel groupby-join -- Parallel indexing -- Parallel universal qualification -- collection join queries -- Parallel query scheduling and optimization -- Part IV: Grid databases: Transactions in distributed and grid databases -- Grid concurrency control -- Grid transaction atomicity and durability -- Replica management in grids -- Grid atomic commitment in replicated data -- Part V: Other data intensive applications: Parallel online analytic processing (OLAP) and business intelligence -- Parallel data mining -- association rules and sequential patterns -- Parallel clustering and classification.

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"The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS). This important new book provides readers with a fundamental understanding of parallelism in data-intensive applications, and demonstrates how to develop faster capabilities to support them. It presents a balanced treatment of the theoretical and practical aspects of high-performance databases to demonstrate how parallel query is executed in a DBMS, including concepts, algorithms, analytical models, and grid transactions."--Publisher's description.

Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. MiAaHDL

Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL

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English.

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