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Modern Big Data Processing with Hadoop

You're reading from  Modern Big Data Processing with Hadoop

Product type Book
Published in Mar 2018
Publisher Packt
ISBN-13 9781787122765
Pages 394 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
V Naresh Kumar V Naresh Kumar
Profile icon V Naresh Kumar
Manoj R Patil Manoj R Patil
Profile icon Manoj R Patil
Prashant Shindgikar Prashant Shindgikar
Profile icon Prashant Shindgikar
View More author details
Toc

Table of Contents (12) Chapters close

Preface 1. Enterprise Data Architecture Principles 2. Hadoop Life Cycle Management 3. Hadoop Design Consideration 4. Data Movement Techniques 5. Data Modeling in Hadoop 6. Designing Real-Time Streaming Data Pipelines 7. Large-Scale Data Processing Frameworks 8. Building Enterprise Search Platform 9. Designing Data Visualization Solutions 10. Developing Applications Using the Cloud 11. Production Hadoop Cluster Deployment

Available technologies in the Cloud

With the increased adoption of Cloud computing, enterprises have started building a variety of technologies and making them available to consumers. We will go through the list of organizations that have pioneered Cloud offerings, and also the different types of technologies they offer.

Here is a list of companies that offer Cloud services:

  • Microsoft Azure (Azure)
  • Amazon Web Services
  • Google Cloud Platform
  • IBM
  • Salesforce
  • SAP
  • Oracle
  • VMware

Various types of resources are being offered to the consumers in the form of:

  • Platform as a Service
  • Infrastructure as a Service
  • Software as a Service
  • Backend as a Service
  • Network as a Service

With the increase in offerings such as these, many organizations need not focus on the infrastructure such as real estate, servers, firewalls, load balancers, switches, power supply, and so on. But they can instead...

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