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An Architecture for Fast and General Data Processing on Large Clusters

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Seitenzahl
142 Seiten
Lesezeit
5 Stunden

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The book explores the shift in computing systems necessitated by the explosion of data from diverse sources like the Internet and scientific instruments. It highlights the challenges posed by stagnant processor speeds and the inability of single machines to handle large data volumes. As organizations seek to manage and analyze these vast data streams, the need for scalable solutions across clusters becomes critical. The text delves into the implications of this transition for businesses and technology.

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An Architecture for Fast and General Data Processing on Large Clusters, Matei Zaharia

Sprache
Erscheinungsdatum
2016
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(Hardcover)
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