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

Cloud Pub/Sub


It is a message-oriented middleware to the cloud that is simple and provides scalability, flexibility, and reliability for streaming analytics and event-driven computing systems.

It provides many-to-many asynchronous messaging, decoupling senders and receivers. It allows secure and highly available communication between independently written applications. The following image shows the architecture of Cloud Pub/Sub:

When to use

The following table illustrates some of the use cases for Google Pub/Sub:

Balancing workloads in a network cluster

Efficiently distributing a large queue of tasks among multiple workers, like GCE

Implementing asynchronous workflows

An order processing application can place an order on a topic, from where it can be picked/processed by one or more worker

Distributing event notifications

A service sends notification on new user registration. Subscriber will receive the notification after registration completion.

Refreshing distributed caches

An application can publish...