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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 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 storage


Cloud Storage is a service in GCP whereby we can store any kind of data format in the form of unified object storage. It serves the highly useful purpose of storing data for enterprises and developers. We can use Cloud Storage for storing real-time data as well as archiving data.

We are provided with multiple storage options in Cloud Storage. Let's first understand the major benefits of Cloud Storage.

When to use it

We can use Cloud Storage for storing media content and storage delivery. We can also have data backups and archive data storage in terms of retrieval frequency and total duration.

Cloud Storage can also be treated as an integrated repository for analytics and machine learning. Along with this, we can store our huge videos and music content on Cloud Storage, which can be streamed. Storing images and website content would be very simple to think of, but it can be very cost effective.

We can use Cloud Storage for video transcoding as well, where we can have Cloud Storage...

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