Book Image

Cloud Analytics with Google Cloud Platform

By : Sanket Thodge
Book Image

Cloud Analytics with Google Cloud Platform

By: Sanket 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 (16 chapters)
Title Page
Packt Upsell
Foreword
Contributors
Preface
Index

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...