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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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 Thodge Thodge
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Thodge
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Toc

Table of Contents (16) Chapters Close

Title Page
Packt Upsell
Foreword
Contributors
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 1. Other Books You May Enjoy Index

When to use What


In this topic I will be sharing some diagrammatic images to help you in getting the right understanding of which service to use in which situation. This will be very helpful for you.

Choosing Cloud Storage

Confused when to use Cloud Storage, have a look at the following flow diagram:

Choosing Cloud SQL

Confused when to use Cloud SQL, have a look at the following flow diagram:

Choosing Cloud Spanner

Confused when to use Cloud Spanner, have a look at the following flow diagram:

Choosing DataStore

Confused when to use Cloud Datastore, have a look at the following flow diagram:

Choosing BigTable

Confused when to use Cloud BigTable, have a look at the following flow diagram:

Choosing right data storage

Maybe other way of looking into the overall data storage options we have and which to choose when, below diagram to help you with that.

Dataproc versus Dataflow

Confused as when to use Dataproc and when to use Dataflow? Below is the answer.

Data Peering versus Carrier Peering versus IPSec VPN...

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