Complete Guide to Open Source Big Data Stack
Complete Guide to Open Source Big Data Stack
Description
The book concentrates on Apache-based systems and shares detailed examples of cloud storage, release management, resource management, processing, queuing, frameworks, data visualization, and more.What You’ll 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 Hadoop, Cassandra, and Riak, and how data can be movedInstall and use DCOS for big data processingUse Apache Spark for big data stack data processing.
He has also worked for major corporations and banks, including IBM, HP, and JPMorgan Chase. The owner of Semtech Solutions, an IT/Big Data consultancy, Mike currently lives by the beach in Paraparaumu, New Zealand, with his wife and son.. Mike Frampton has been in the IT industry since 1990, working in many roles (tester, developer, support, an
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 author begins by creating a private cloud and then installs and examines Apache Brooklyn. The book concentrates on Apache-based systems and shares detailed examples of cloud storage, release management, resource management, processing, queuing, frameworks, data visualization, and more.What You’ll LearnInstall 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 Hadoop, Cassandra, and Riak, and how data can be movedInstall and use DCOS for big data processingUse Apache Spark for big data stack data processingWho This Book Is ForDevelopers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. After that he uses each chapter to introduce one piece of the big data stacksharing how to source the software