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San Raphael CA: Morgan & Claypool, 2016. First edition, first printing. Hardback. No jacket issued. SELLER'S DESCRIPTION - A digital text: this copy printed in the UK. Quarto-size, 144 pages (xii, 132), tabular data, charts, graphs with spot colour, references; Issued without jacket. CONDITION - Fine, without writing or other marks of previous ownership
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An Architecture for Fast and General Data Processing on Large Clusters Hardcover - 2016
by Matei Zaharia
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- Title An Architecture for Fast and General Data Processing on Large Clusters
- Author Matei Zaharia
- Binding Hardcover
- Pages 141
- Volumes 1
- Language ENG
- Publisher ACM Books
- Date 2016-05-01
- Features Bibliography
- ISBN 9781970001594 / 1970001593
- Weight 1.02 lbs (0.46 kg)
- Dimensions 9.25 x 7.5 x 0.38 in (23.50 x 19.05 x 0.97 cm)
- Library of Congress subjects Electronic data processing - Distributed, Distributed databases
- Library of Congress Catalog Number 2017471066
- Dewey Decimal Code 004.36
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An Architecture for Fast and General Data Processing on Large Clusters
by Matei Zaharia
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An Architecture for Fast and General Data Processing on Large Clusters
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by Matei Zaharia
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An Architecture for Fast and General Data Processing on Large Clusters
by Zaharia, Matei
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Morgan & Claypool, 2016. Hardcover. New. 141 pages. 9.25x7.50x0.50 inches.
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An Architecture for Fast and General Data Processing on Large Clusters
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Hardback. 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.
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