Complete Guide to Open Source Big Data Stack
Language: English
Published by Apress, 2018
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 69.56
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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 authorbegins 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 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. …
Seller Inventory # 9781484221488
- Title
- Complete Guide to Open Source Big Data Stack
- Author
- Michael Frampton
- Publisher
- Apress
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1484221486
- ISBN 13
- 9781484221488
- Item weight
- 728 grams
- Dimensions
- 254x178x21 mm
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.
"Synopsis" may belong to another edition of this title.
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.
"About the title" may belong to another edition of this title.
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