EUR 25,98
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Ajouter au panierPaperback. Etat : Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
EUR 31,27
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Ajouter au panierEtat : New.
Vendeur : Lakeside Books, Benton Harbor, MI, Etats-Unis
EUR 30,09
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Ajouter au panierEtat : New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
EUR 33,25
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Ajouter au panierEtat : New.
EUR 35,57
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Edition originale
EUR 40,23
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Ajouter au panierPaperback. Etat : new. Paperback. 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 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 Apache-based 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
Edition originale
EUR 47,82
Autre deviseQuantité disponible : 8 disponible(s)
Ajouter au panierPaperback. Etat : New. 1st ed. 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 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.
EUR 45,73
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Ajouter au panierEtat : New. pp. 365.
EUR 44,17
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
EUR 44,70
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Ajouter au panierEtat : New. pp. 365.
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Edition originale
EUR 55,64
Autre deviseQuantité disponible : 8 disponible(s)
Ajouter au panierPaperback. Etat : New. 1st ed. 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 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.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 38,79
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Ajouter au panierEtat : New.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 45,55
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Ajouter au panierEtat : New. pp. 365.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 42,81
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 46,38
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Ajouter au panierEtat : New. In.
EUR 50,56
Autre deviseQuantité disponible : 10 disponible(s)
Ajouter au panierPF. Etat : New.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
EUR 66,03
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Ajouter au panierEtat : New. . 2018. 1st ed. Paperback. . . . .
EUR 52,45
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Ajouter au panierPaperback. Etat : Brand New. 365 pages. 10.00x7.00x0.75 inches. In Stock.
EUR 38,80
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Ajouter au panierEtat : NEW.
EUR 82,22
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Ajouter au panierEtat : New. . 2018. 1st ed. Paperback. . . . . Books ship from the US and Ireland.
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
Edition originale
EUR 49,90
Autre deviseQuantité disponible : 8 disponible(s)
Ajouter au panierPaperback. Etat : New. 1st ed. 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 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.
EUR 50,89
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Ajouter au panierEtat : New. Describes the step-by-step construction of a real-world big data stack from open source softwareExplains popular Apache-based systems such as Hadoop, HBase, Cassandra, Riak, Brooklyn, Spark, Kafka, and moreAuth.
Edité par Apress, Apress Jan 2018, 2018
ISBN 10 : 1484221486 ISBN 13 : 9781484221488
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 48,14
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware -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 Yoüll 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 Mule ESB on a cluster and Cassandra in the cloudInstall 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. It is also for anyone interested in Hadoop or big data, and those experiencing problems with data size.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 388 pp. Englisch.
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Edition originale
EUR 81,65
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. 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 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 Apache-based 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Edition originale
EUR 51,50
Autre deviseQuantité disponible : 8 disponible(s)
Ajouter au panierPaperback. Etat : New. 1st ed. 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 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.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 48,14
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 388 pp. Englisch.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 50,08
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. 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.