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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 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

Discovering multi-cloud solutions

Choosing the right cloud for our platform is a complex and risky job that is likely to have a significant impact on our business. One option is to use inter-cloud communication, or Docker, Jupyter, and Python, to be as agnostic as possible with regard to the cloud. There are, however, other interesting multi-cloud solutions. We will explore these in the following sections.

PyTorch

If we are working with Python, deep learning, and GPU, we can get interesting benefits from PyTorch (https://pytorch.org). PyTorch is supported by Azure, AWS, and GCP. It can also be installed on-premises.

Chainer

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