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Hands-On Industrial Internet of Things

You're reading from Hands-On Industrial Internet of Things Build robust industrial IoT infrastructure by using the cloud and artificial intelligence

Product type Paperback

Published in Nov 2024

Publisher Packt

ISBN-13 9781835887462

Length 530 pages

Edition 2nd Edition

Concepts

Industrial Internet of Things

Authors (2):

Antonio Capasso

Giacomo Veneri

View More author details

Table of Contents (21) Chapters

Preface

1. Part 1:Industrial IoT FREE CHAPTER

2. Chapter 1: Introduction to Industrial IoT

3. Chapter 2: Understanding the Industrial Process and Devices

4. Chapter 3: Industrial Data Flow and Devices

5. Chapter 4: Implementing the Industrial IoT Data Flow

6. Chapter 5: Applying Cybersecurity

7. Chapter 6: Performing an Exercise Based on Industrial Protocols and Standards

8. Part 2:Industrial IoT Architecture

9. Chapter 7: Developing Industrial IoT and Architecture

10. Chapter 8: Implementing a Custom Industrial IoT Platform

11. Chapter 9: Building an AWS Industrial IoT Solution

12. Chapter 10: Implementing an Industrial IOT Data Flow with AWS

13. Chapter 11: Performing a Practical Industrial IoT Solution with Azure

14. Chapter 12: Implementing an Industrial IoT Data Flow with Azure

15. Part 3:Industrial Artificial Intelligence of Things

16. Chapter 13: Performing Diagnostic, Maintenance, and Predictive Analytics

17. Chapter 14: Implementing a Digital Twin – Advanced Analytics

18. Chapter 15: Deploying an Analytics Model

19. Index

Why subscribe?

20. Other Books You May Enjoy

Implementing an Industrial IOT Data Flow with AWS

In the previous chapter, we implemented the edge-to-cloud AWS Industrial IoT (IIoT) data flow. We looked at some important topics, including storage, time series, microservices, protocols, data stream processing, and batch processing. This chapter explores the AWS solutions used to implement an operational data flow.

In particular, we will cover the following topics:

Storing data on Amazon Timestream or S3
AWS IoT Analytics
AWS IoT Events
Grafana

The rest of the chapter is locked

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Authors (3)

Giacomo Veneri

Giacomo Veneri

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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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.

See other products by Giacomo Veneri

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.

See other products by Antonio Capasso

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