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The book explores the shift in computing systems driven by rising data volumes and stagnant processor speeds, highlighting the necessity for applications to scale across clusters. It discusses the diverse sources of data, including the Internet and scientific instruments, which generate substantial data streams. With single machines struggling to handle this influx, the text emphasizes the growing importance for organizations to adopt cluster-based computation to effectively process and leverage large datasets.
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An Architecture for Fast and General Data Processing on Large Clusters, Matei Zaharia
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- 2016
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