The Gamma Parallel Database Machine: Data Clustering and Declustering

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This lecture covers the motivation behind The Gamma Parallel Database Machine, physical system designs, data clustering, failure management, query processing, evaluation, and results. It also discusses declustering techniques such as attribute-less partitioning, hash declustering, and range declustering, highlighting tradeoffs and performance considerations.

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