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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

Smart Parking Solution by Mark N Park


This use case is going to focus more on the IoT and data processing side of the application.

Abstract

In this use case, our aim is to find real-time parking occupancy of four wheel vehicles and show it on mobile and web apps.

Introduction

Now with the introduction and abstract you have already got an idea of the use cases. But this will be in more detail. So, we have to build an application on Google Cloud Platform where our primary aim is to show the real-time occupancy of vehicle parking.

And to show the real-time occupancy of the parking lots we require that information to be updated in the database. For this purpose we have multiple options, such as installing numerous cameras covering the entire parking lot. Another option can be installing GPS locating sensors to every vehicle entering the premise. And one more option can be installing sensors that detect the presence and absence of vehicles in the parking lot.

Let's assume we are going with option number...

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