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Modern Big Data Processing with Hadoop

You're reading from   Modern Big Data Processing with Hadoop Expert techniques for architecting end-to-end big data solutions to get valuable insights

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781787122765
Length 394 pages
Edition 1st Edition
Languages
Concepts
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Authors (3):
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Manoj R Patil Manoj R Patil
Author Profile Icon Manoj R Patil
Manoj R Patil
Prashant Shindgikar Prashant Shindgikar
Author Profile Icon Prashant Shindgikar
Prashant Shindgikar
V Naresh Kumar V Naresh Kumar
Author Profile Icon V Naresh Kumar
V Naresh Kumar
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Toc

Table of Contents (12) Chapters Close

Preface 1. Enterprise Data Architecture Principles 2. Hadoop Life Cycle Management FREE CHAPTER 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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