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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 FREE CHAPTER 2. Design and Business Considerations 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

Prerequisites for an application to be moved to the cloud


In case of application servers, you ought to consider whether the application can work in the cloud with no glitches. Additionally, the application's execution must be thought about similarly.

Regularly, the compatibility is never a major issue for fresh applications that run on cutting-edge systems. Likewise, the execution shouldn't be an issue for such applications as the vast majority of cloud providers enable the hardware equipment assets to be assigned to hosted servers on an as-required mode. All things considered, there are two noteworthy contemplations that must be considered for such applications.

Performance

Despite the fact that you can arrange the hosted application server with hypothetically boundless compute and memory assets, the data transfer capacity of the web can at present hinder the application's general performance. It adds minimal value to have an elite hosted application server if web data transmission limitations...

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