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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

Different services offered by typical cloud vendors

Before starting with GCP, let's try to understand the service categorization by major competitors of GCP, that is, Amazon Web Services (AWS) and Microsoft Azure.

First let's get started with AWS. AWS has 21 broad categories, namely Compute, Storage, Database, Migration, Network and Content Delivery, Developer Tools, Management Tools, Media Services, Machine Learning, Analytics, Security Identity and Compliance, Mobile Service, AR and VR, Application Integration, Customer Engagement, Business Productivity, Desktop and App Streaming, Internet of Things, Game Development, and Software and Cost Management.

Similarly, Azure has categorized services into 13 parts, namely Compute, Networking, Storage, Web and Mobile, Containers, Databases, Analytics, AI and Machine Learning, Internet of Things, Enterprise Integration, Security...

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