AN ARCHITECTURE FOR FAST AND GENERAL DATA PROCESSING ON LARGE CLUSTERS by Matei Zaharia ISBN 13: 9781970001563

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Morgan & Claypool Publishers, 2016 8vo (23.5 cm), XII, 130 pp. Laminated wrappers. "This book, a revised version of the 2014 ACM Dissertation Award winning dissertation, proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. Whereas early cluster computing systems, like MapReduce, handled batch processing, our architecture also enables streaming and interactive queries, while keeping MapReduce's scalability and fault tolerance. And whereas most deployed systems only support simple one-pass computations (e.g., SQL queries), ours also extends to the multi-pass algorithms required for complex analytics like machine learning. Finally, unlike the specialized systems proposed for some of these workloads, our architecture allows these computations to be combined, enabling rich new applications that intermix, for example, streaming and batch processing." (from the publisher's synopsis)

New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The An Architecture for Fast and General Data Processing on Large Clusters.

Morgan & Claypool, 2016. Paperback. New. 141 pages. 9.25x7.50x0.40 inches.

Paperback / softback. New. This book proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. Whereas early cluster computing systems, like MapReduce, handled batch processing, our architecture also enables streaming and interactive queries, while keeping MapReduce's scalability and fault tolerance.

ACM Books. New. Special order direct from the distributor

paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.