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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

A bit more about cloud computing and migration


What began as cloud storage soon extended to incorporate services, for example, Software as a Service (SaaS), which have developed into a stack of business-profitable aaS models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Database as a Service (DBaaS), Data as a Service (DaaS), Backup as a Service (BaaS), and Disaster Recovery as a Service (DRaaS).

Close to the previous decade and a half, cloud services have quickly turned out to be a standout among the most noteworthy advancements in IT. The publicity encompassing cloud services made look as though all of an organization's IT assets ought to be immediately moved to the cloud. There is no disproving that, in specific cases, cloud services can be extremely advantageous. Be that as it may, cloud relocation maybe doesn't suit some cases.

Cloud may not be ideal for everything, but without a doubt it is important for everybody from numerous points of view. I foresee...

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