Complete Guide to Open Source Big Data Stack

Nonfiction, Computers, Advanced Computing, Programming, Data Modeling & Design, Database Management, General Computing
Cover of the book Complete Guide to Open Source Big Data Stack by Michael Frampton, Apress
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Author: Michael Frampton ISBN: 9781484221495
Publisher: Apress Publication: January 18, 2018
Imprint: Apress Language: English
Author: Michael Frampton
ISBN: 9781484221495
Publisher: Apress
Publication: January 18, 2018
Imprint: Apress
Language: English

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 processing

  • Use 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

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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