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Complete guide to open source big data stack /
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 p...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Berkeley, CA] :
Apress,
2018.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Frampton, Michael, |e author. | |
| 245 | 1 | 0 | |a Complete guide to open source big data stack / |c Michael Frampton. |
| 264 | 1 | |a [Berkeley, CA] : |b Apress, |c 2018. | |
| 264 | 4 | |c ©2018 | |
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| 500 | |a Includes index. | ||
| 520 | |a 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. | ||
| 505 | 0 | |a Intro; Table of Contents; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: The Big Data Stack Overview; What Is Big Data?; Limitations of Approach; Why a Stack?; NoSQL Overview; Development Stacks; LAMP Stack; MEAN Stack; SMACK Stack; MARQS Stack; Book Approach; Chapter 2 â#x80;#x93; Cloud Storage; Chapter 3 â#x80;#x93; Release Management â#x80;#x93; Brooklyn; Chapter 4 â#x80;#x93; Resource Management; Chapter 5 â#x80;#x93; Storage; Chapter 6 â#x80;#x93; Processing; Chapter 7 â#x80;#x93; Streaming; Chapter 8 â#x80;#x93; Frameworks; Chapter 9 â#x80;#x93; Data Visualisation; Chapter 10 â#x80;#x93; The Big Data Stack. | |
| 505 | 8 | |a The Full StackCloud or Cluster; The Future; Chapter 2: Cloud Storage; CloudStack Overview; Server Preparation; Minimum System Requirements; Management Server Requirements; Hypervisor Host Requirements; Check CentOS Install; Secure Shell (SSH) Access; Configure Network; Check Hostname FQDN; Configure SELinux; Configure NTP; Configure CloudStack Package Repository; Configure NFS (Network File System); CloudStack Server Install; MySQL Server Install; MySQL Connector Installation; Management Server Installation; System Template Setup; KVM Setup and Installation; Prerequisites. | |
| 505 | 8 | |a Create Repository FileKVM Installation; KVM QEMU (Quick Emulator) Configuration; Libvirt Configuration; Check KVM Running; Host Naming; CloudStack Cluster Configuration; Adding Hosts to the Cloud; Adding an Instance to the Cloud; Registering an ISO with CloudStack; Creating an Instance from an ISO; Advanced Zone Creation; Problem-Solving; CloudStack Log Files; CloudStack Storage; CloudStack System VMs; CloudStack Firewall Issues; Conclusion; Chapter 3: Apache Brooklyn; Brooklyn Install; Brooklyn Overview; Blueprints; REST API; Policy Management; Monitoring; Operations. | |
| 505 | 8 | |a Modelling With BlueprintsApplication Installs; Server-Based Install; Cloud-Based Install; Conclusion; Chapter 4: Apache Mesos; Mesos Architecture; Mesos Install; Overview; Building Mesos; Mesos System Requirements; Mesos Build; Starting Mesos; Mesos User Interface; Build Errors; Mesosphere DCOS; Overview; SSH configuration; Install Prerequisites; Install Server; Master Server; Agent Server; User Interfaces; Logging and Problem Investigation; Build Errors; Project Myriad; Myriad Architecture; Conclusion; Chapter 5: Stack Storage Options; HDFS Mesos Framework; Source Software; Start Scheduler. | |
| 505 | 8 | |a Create and Start HDFS NodesUse HDFS Mesos Framework; Riak Mesos Framework; VirtualBox Install; Vagrant Install; Install Framework; Use Framework; Cassandra Mesos Framework; Install Prerequisites; Install X Windows; Install VirtualBox and Vagrant; Install Vagrant-Based DCOS; Install Cassandra; Conclusion; Chapter 6: Processing; Stack Architecture; Server Preparation; Mesos and Spark; Build Mesos Part 1; Build Mesos Part 2; Build Mesos Part 3; Building the Mesos Source; Starting Mesos; Installing the HDFS Framework; Running Spark; DCOS and Spark; DCOS Build Part 1; DCOS Build Part 2. | |
| 505 | 8 | |a DCOS Build Part 3â#x80;#x94;Install Server. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Big data. | |
| 650 | 6 | |a Données volumineuses. | |
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| 650 | 7 | |a Algorithms & data structures. |2 bicssc | |
| 650 | 7 | |a COMPUTERS |x Databases |x Data Warehousing. |2 bisacsh | |
| 650 | 7 | |a Big data |2 fast | |
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