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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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Table of Contents (18) Chapters Close

Preface 1. Introduction to Industrial IoT FREE CHAPTER 2. Understanding the Industrial Process and Devices 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

Connecting a device with IoT Edge

Azure IoT Edge is the Edge Gateway and Edge computer of Azure. In the previous section, we implemented a simple Edge Gateway with the Azure Device SDK and Node.js. Azure IoT Edge simplifies the development process and enhances the computation capabilities of the Edge, distributing business logic to devices through standard containers and monitoring them from the cloud.

The following screenshot summarizes the main features of Azure IoT Edge from three different perspectives—computation, gateway, and development:

Azure IoT Edge reference architecture

The preceding diagram can be explained as follows:

  • Computation: With Azure IoT Edge, we can deploy Azure Stream jobs and Azure ML Analytics on the Edge to perform simple or advanced actions. Azure IoT Edge runtime supports C#, Node.js, Java, Python, and C.
  • Gateway: Azure IoT Edge can connect...
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