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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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Toc

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

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...

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