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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

Introducing Cloud Analytics

In this chapter, we are going to learn the important aspects of cloud analytics. We are going to build a platform to get a better understanding of Google Cloud Platform (GCP) and its tools. This chapter will help you in understanding the purpose of GCP, the motto behind different tools and services that we have on the platform. But while we are learning about cloud analytics, cloud computing and analytics are also very important topics to cover. Thereafter, we are also going to learn about the major benefits of having cloud computing and having analytics in production. These topics will be covered in a very simple way.

As we go ahead in the chapter, we will also learn about the analytics part associated with the cloud. The cloud is not only about using the infrastructure of vendors, but along with that we also need to use our data on the cloud appropriately. Some cloud vendors do have their own tools over cloud to use this data, and a few are reliant on other cloud vendors to provide the same service. Once we are clear on these topics, we will learn the merging of cloud computing and analytics and will give birth to cloud analytics. The role of cloud analytics in the industry will be studied and what benefit it has over traditional systems.

We will cover the following topics in this chapter:

  • What is cloud computing?
  • Major benefits of cloud computing
  • Cloud computing deployment models
  • Types of cloud computing services
  • How PaaS, IaaS, and SaaS are separated at service level
  • Emerging cloud technologies and services
  • Cloud computing security
  • A brief history of cloud computing
  • Risk and challenges with cloud
  • What is cloud analytics?
  • 10 major cloud vendors in the world
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