Hadoop and Spark performance for the Enterprise ensuring quality of service in multi-tenant environments

Virtually every enterprise depends on big data analysis, but distributed computing environments such as Hadoop and Spark are complicated, to say the least. Multiple users, business units, and workload types often compete for valuable computing resources. Monitoring tools are not well equipped to han...

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Bibliographische Detailangaben

1. Verfasser:	Oram, Andrew (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Sebastopol, CA O'Reilly Media [2016]
Ausgabe:	First edition.
Schlagworte:	Apache Hadoop Spark (Electronic resource : Apache Software Foundation) Electronic data processing > Distributed processing Information technology > Management Big data Traitement réparti Technologie de l'information ; Gestion Données volumineuses Electronic data processing ; Distributed processing Information technology ; Management
Online-Zugang:	lizenzpflichtig
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