描述
See a Mesosbased big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they work together.In the Complete Guide to Open Source Big Data Stack the authorampnbspbegins by creating a private cloud and then installs and examines Apache Brooklyn. After that he uses each chapter to introduce one piece of the big data stacksharing how to source the software and how to install it. You learn by simple example step by step and chapter by chapter as a real big data stack is created. The book concentrates on Apachebased systems and shares detailed examples of cloud storage release management resource management processing queuing frameworks data visualization and more. What Youll Learn Install a private cloud onto the local cluster using Apache cloud stackSource install and configure Apache Brooklyn Mesos Kafka and ZeppelinSee how Brooklyn can be used to install Mule ESB on a cluster and Cassandra in the cloudInstall and use DCOS for big data processingUse Apache Spark for big data stack data processing Who This Book Is For Developers architects IT project managers database administrators and others charged with developing or supporting a big data system. It is also for anyone interested in Hadoop or big data and those experiencing problems with data size.
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品牌:
Unbranded
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类别:
杂志
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语言:
English
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作者:
Michael Frampton
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出版日期:
2018-01-19
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出版社/标签:
APress
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格式:
Paperback
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Fruugo ID:
40053848-81994149
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ISBN:
9781484221488