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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
Antonio Capasso graduated from the University of Naples with a degree in computer automation in 1999 and a degree in computer science in 2003. He has been working for twenty years on large and complex IT projects related to the industrial world in a variety of fields (automotive, pharma, food and beverage, and oil and gas), in a variety of roles (programmer, analyst, architect, and team leader) with different technologies and software. Since 2011, he has been involved in building and securing IIoT infrastructure. He currently lives in Tuscany, where he enjoys trekking and swimming.
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Giacomo Veneri Giacomo Veneri
Author Profile Icon Giacomo Veneri
Giacomo Veneri
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Giacomo Veneri was born in Siena, Italy, in 1973. He is an expert in data processing and industrial internet of things (IIoT). Working actively as an AI and IoT manager, he is the author of several books and scientific articles. He graduated from the University of Siena with a degree in computer science in 1999 and graduated in 2014 with a PhD in neuroscience and neural computation. He has achieved more than 10 certifications in programming, AI, and the cloud. Today, Giacomo is an AI director.
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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

Summary

In this chapter, we looked at the basic concepts of I-IoT data-processing. We learned about the key principles of data storage, including time-series, asset-management using asset registry, and data-processing with analytics and Digital Twin.

In the next chapter, we will build a real I-IoT solution based on common open source technologies.

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Authors (2)

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Profile icon Giacomo Veneri
Giacomo Veneri
Giacomo Veneri graduated in computer science from the University of Siena. He holds a PhD in neuroscience context with various scientific publications. He is Predix Cloud certified and an influencer, as well as SCRUM and Oracle Java certified. He has 18 years' experience as an IT architect and team leader. He has been an expert on IoT in the fields of oil and gas and transportation since 2013. He lives in Tuscany, where he loves cycling.
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Profile icon Antonio Capasso
Antonio Capasso
Antonio Capasso graduated in computer automation in 1999 and computer science in 2003 from the University of Naples. He has been working for twenty years on large and complex IT projects related to the industrial world in a variety of fields (automotive, pharma, food and beverage, and oil and gas), in a variety of roles (programmer, analyst, architect, and team leader) with different technologies and software. Since 2011, he has been involved in building and securing industrial IoT infrastructure. He currently lives in Tuscany, where he loves trekking and swimming.
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See other products by Antonio Capasso
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