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Hands-On Industrial Internet of Things

You're reading from  Hands-On Industrial Internet of Things

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789537222
Pages 556 pages
Edition 1st Edition
Languages
Authors (2):
Giacomo Veneri Giacomo Veneri
Profile icon Giacomo Veneri
Antonio Capasso Antonio Capasso
Profile icon Antonio Capasso
View More author details

Table of Contents (18) Chapters

Preface 1. Introduction to Industrial IoT 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

Preface

We are living in an era where automation is being used on a higher scale to get accurate results. Industrial automation is one of those automation environments. To get an automation environment, we first have to set up the network that can be accessed anywhere and by any device. This is why the industrial IoT is gaining traction, and it is been stated that by the end of 2020, there will be 20 billion connected devices, which clearly demonstrates that there is traction for connected devices and the IoT.

This book is a practical guide that lets you discover the technologies and the use cases for the industrial IoT. Taking you through the implementation of industrial processes, specialized control devices, and protocols, it covers the process of identification and connection of different industrial data sources gathered from different sensors. You will be able to connect these sensors, such as AWS IoT, Azure IoT, OEM IoT platforms, and Google IoT, to the cloud network, and extract this data from the cloud itself to your devices.

Over time, you will gain the knowledge to obtain the hands-on experience necessary for using open source Node-RED, Kafka, Cassandra, and Python. You will develop streaming and batch-based machine learning algorithms. By the end of this book, you will have mastered the features of Industry 4.0 and will be able to build strong, faster, and more reliable IoT infrastructure within your industry.

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