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Cloud Analytics with Google Cloud Platform

Cloud Analytics with Google Cloud Platform

By : Thodge
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Cloud Analytics with Google Cloud Platform

Cloud Analytics with Google Cloud Platform

3 (6)
By: Thodge

Overview of this book

With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data. This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning. By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementation
Table of Contents (11 chapters)
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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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Cloud Analytics with Google Cloud Platform
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