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Cloud Analytics with Google Cloud Platform

You're reading from   Cloud Analytics with Google Cloud Platform An end-to-end guide to processing and analyzing big data using Google Cloud Platform

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839686
Length 282 pages
Edition 1st Edition
Concepts
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Author (1):
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Sanket Thodge Sanket Thodge
Author Profile Icon Sanket Thodge
Sanket Thodge
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Table of Contents (11) Chapters Close

Preface 1. Introducing Cloud Analytics FREE CHAPTER 2. Design and Business Considerations 3. GCP 10,000 Feet Above – A High-Level Understanding of GCP 4. Ingestion and Storing – Bring the Data and Capture It 5. Processing and Visualizing – Close Encounter 6. Machine Learning, Deep Learning, and AI on GCP 7. Guidance on Google Cloud Platform Certification 8. Business Use Cases 9. Introduction to AWS and Azure 10. Other Books You May Enjoy

Available deployment models while moving to cloud

We have three available deployment models while deploying to the cloud:

  • The Infrastructure as a Service or the IaaS model
  • The Platform as a Service or the PaaS model
  • The Software as a Service or the SaaS model

We will be discussing the advantages and disadvantages of these deployment models in detail, in the following sections.

IaaS

IaaS enables the cloud provider to openly find an IT infrastructure over the web in a financially savvy way. Following image will help you to understand IaaS Architecture.

Advantages of IaaS

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