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Hands-On Industrial Internet of Things

You're reading from   Hands-On Industrial Internet of Things Create a powerful Industrial IoT infrastructure using Industry 4.0

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789537222
Length 556 pages
Edition 1st Edition
Tools
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Authors (2):
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Antonio Capasso Antonio Capasso
Author Profile Icon Antonio Capasso
Antonio Capasso
Giacomo Veneri Giacomo Veneri
Author Profile Icon Giacomo Veneri
Giacomo Veneri
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Toc

Table of Contents (18) Chapters Close

Preface 1. Introduction to Industrial IoT 2. Understanding the Industrial Process and Devices FREE CHAPTER 3. Industrial Data Flow and Devices 4. Implementing the Industrial IoT Data Flow 5. Applying Cybersecurity 6. Performing an Exercise Based on Industrial Protocols and Standards 7. Developing Industrial IoT and Architecture 8. Implementing a Custom Industrial IoT Platform 9. Understanding Industrial OEM Platforms 10. Implementing a Cloud Industrial IoT Solution with AWS 11. Implementing a Cloud Industrial IoT Solution with Google Cloud 12. Performing a Practical Industrial IoT Solution with Azure 13. Understanding Diagnostics, Maintenance, and Predictive Analytics 14. Implementing a Digital Twin – Advanced Analytics 15. Deploying Analytics on an IoT Platform 16. Assessment 17. Other Books You May Enjoy

QuickSight

QuickSight mainly relates to business intelligence capabilities, but also offers an easy way of IoT data visualization. Although QuickSight is not exactly related to IoT, it has great connectivity with AWS IoT Analytics and allows you to develop a user interface with just a few clicks:

  1. From the AWS console, click on the QuickSight option.
  2. The first time you click on QuickSight, it will ask you to register. Choose the free account.
  1. To enable the data source, check the box next to the Amazon IoT Analytics checkbox, as shown in the following screenshot:
Configuring QuickSight
  1. Finally, from the data set, create a new instance IoT Analytics and select our previously created dataset signals_dataset:
Creating a new AWS IoT Analytics datasource

Now, drag and drop our signal (in this case the temperature) into the autograph space:

Visualizing data with QuickSight
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