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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 2. Design and Business Considerations FREE CHAPTER 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

Head to head of Google Cloud Platform with Amazon Web Services and Microsoft Azure


In this section, we will learn and compare the various features of Google Cloud Platform, Amazon Web Services and Microsoft Azure.

We will compare the platforms with respect to the following parameters:

  • Compute
  • Storage
  • Database
  • Analytics and big data
  • Internet of Things
  • Mobile Services
  • Application Services
  • Networking
  • Security and Identity
  • Monitoring and Management

We will discuss the platforms with respect to each of these aspects, in the following sections.

Compute

The properties of these platforms according to the computing parameter are summarized in the following table:

Properties

Google Cloud Platform

Amazon Web Services

Microsoft Azure

Virtual System

Compute Engine

EC2

Virtual Machine

Autoscale

Autoscaling

Autoscaling

App Service Autoscaling

Virtual Server Disk

Persistent Disk

Elastic Blob Storage

Page Blobs

Container Management

Container Engine

EC2 Container Service

Container Service

Serverless Function

Cloud Functions

Lambda

Cloud Services...

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