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Industrial IoT for Architects and Engineers

You're reading from   Industrial IoT for Architects and Engineers Architecting secure, robust, and scalable industrial IoT solutions with AWS

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803240893
Length 344 pages
Edition 1st Edition
Tools
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Authors (2):
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Bharath Sridhar Bharath Sridhar
Author Profile Icon Bharath Sridhar
Bharath Sridhar
Joey Bernal Joey Bernal
Author Profile Icon Joey Bernal
Joey Bernal
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Table of Contents (19) Chapters Close

Preface 1. Part 1:An Introduction to Industrial IoT and Moving Toward Industry 4.0
2. Chapter 1: Welcome to the IoT Revolution FREE CHAPTER 3. Chapter 2: Anatomy of an IoT Architecture 4. Chapter 3: In-Situ Environmental Monitoring 5. Chapter 4: Real-World Environmental Monitoring 6. Part 2: IoT Integration for Industrial Protocols and Systems
7. Chapter 5: OT and Industrial Control Systems 8. Chapter 6: Enabling Industrial IoT 9. Chapter 7: PLC Data Acquisition and Analysis 10. Chapter 8: Asset and Condition Monitoring 11. Part 3:Building Scalable, Robust, and Secure Solutions
12. Chapter 9: Taking It Up a Notch – Scalable, Robust, and Secure Architectures 13. Chapter 10: Intelligent Systems at the Edge 14. Chapter 11: Remote Monitoring Challenges 15. Chapter 12: Advanced Analytics and Machine Learning 16. Index 17. Other Books You May Enjoy Appendix: General Cybersecurity Topics

Setting up a basic dashboard

For initial visualization, there are several options within AWS. One good option for a long-term Business Intelligence (BI) service is AWS QuickSight. QuickSight allows you to connect to your data and includes in-memory data storage for quick data analysis or to provide customized dashboards and reports. No proper BI tool (AWS or otherwise) is ready out of the box for end users. Transforming and loading data sources and end-user training to make good use of the data and build valuable visualizations is an effort.

We will explore AWS QuickSight in a later chapter, so for our initial setup, we will build a simple dashboard to show the incoming data and to get a feel for how the information looks. We will do this by starting simple and then combining data in ways that make sense—energy versus flow, or machine parameters that can be compared against quality, can be a valid combination of measurements. Figure 4.12 shows a simple AWS Grafana dashboard...

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