Complete Guide to Open Source Big Data Stack by Mike Frampton

£39.99
Available
Product Ref. (e.g. ISBN, SKU)
9781484221488
Published:
19 Jan 2018
Format:
Paperback
Number of pages:
365 pages
Dimensions:
254x178x22mm
Weight:
0.742kgs
Author:
See a Mesos-based 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 author begins 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 stack-sharing 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 Apache-based systems and shares detailed examples of cloud storage, release management, resource management, processing, queuing, frameworks, data visualization, and more.

See a Mesos-based 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 author begins 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 stack-sharing 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 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 stack
Source, install, and configure Apache: Brooklyn, Mesos, Kafka, and Zeppelin
See how Brooklyn can be used to install Mule ESB on a cluster and Cassandra in the cloud
Install 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.

About the Author: Mike Frampton has been in the IT industry since 1990, working in many roles (tester, developer, support, QA), and in many sectors (telecoms, banking, energy, insurance). He has also worked for major corporations and banks as a contractor and a permanent member of staff, including Agilent, BT, IBM, HP, Reuters, and JP Morgan 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 has a keen interest in new IT-based technologies and the way that technologies integrate. Being married to a Thai national, Mike divides his time between Paraparaumu or Wellington in New Zealand and their house in Roi Et, Thailand.

More Information
Number of pages 365

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