Tous nos rayons

Déjà client ? Identifiez-vous

Mot de passe oublié ?

Nouveau client ?

CRÉER VOTRE COMPTE
Complete Guide to Open Source Big Data Stack
Ajouter à une liste

Librairie Eyrolles - Paris 5e
Indisponible

Complete Guide to Open Source Big Data Stack

Complete Guide to Open Source Big Data Stack

Michael frampton (author)

365 pages, parution le 28/01/2018

Résumé

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.

Chapter 1: The Big Data Stack Overview.- Chapter 2: Cloud Storage.- Chapter 3: Apache Brooklyn.- Chapter 4: Apache Mesos.- Chapter 5: Stack Storage Options.- Chapter 6: Processing.- Chapter 7: Streaming.- Chapter 8: Frameworks.- Chapter 9: Visualization.- Chapter 10: The 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 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.

1st Edition editionIllustrationsQA76.9.D37Data warehousing.1New York (State)New York9781484221495|9781484221501Michael Frampton.

Caractéristiques techniques

  PAPIER
Éditeur(s) Apress
Auteur(s) Michael frampton (author)
Parution 28/01/2018
Nb. de pages 365
Format 178 x 254
Poids 736g
EAN13 9781484221488

Avantages Eyrolles.com

Livraison à partir de 0,01 en France métropolitaine
Paiement en ligne SÉCURISÉ
Livraison dans le monde
Retour sous 15 jours
+ d'un million et demi de livres disponibles
satisfait ou remboursé
Satisfait ou remboursé
Paiement sécurisé
modes de paiement
Paiement à l'expédition
partout dans le monde
Livraison partout dans le monde
Service clients sav.client@eyrolles.com
librairie française
Librairie française depuis 1925
Recevez nos newsletters
Vous serez régulièrement informé(e) de toutes nos actualités.
Inscription