You're reading from Internet of Things from Scratch Build IoT solutions for Industry 4.0 with ESP32, Raspberry Pi, and AWS

Product type Paperback

Published in Feb 2024

Publisher Packt

ISBN-13 9781837638543

Length 438 pages

Edition 1st Edition

Languages

Scratch

Tools

AWS

Concepts

IoT Development

Author (1):

Renaldi Gondosubroto

View More author details

Table of Contents (22) Chapters

Preface

1. Part 1: Getting Started with the Internet of Things

2. Chapter 1: An Introduction to IoT Architecture, Hardware, and Real-Life Applications FREE CHAPTER

3. Chapter 2: Understanding and Designing IoT Networks

4. Chapter 3: Integrating Application Protocols

5. Chapter 4: Examining Communication and Connectivity Technologies

6. Part 2: Developing and Optimizing IoT Systems for Smart Environments

7. Chapter 5: Realizing Wireless Sensor Networks within Smart Spaces

8. Chapter 6: Creating Applications on the Edge

9. Chapter 7: Working with Cloud Computing to Power IoT Solutions

10. Chapter 8: Designing for Interoperability

11. Part 3: Operating, Maintaining, and Securing IoT Networks

12. Chapter 9: Operating and Monitoring IoT Networks

13. Chapter 10: Working with Data and Analytics

14. Chapter 11: Examining Security and Privacy in IoT

15. Chapter 12: Exploring and Innovating with Open Source IoT

16. Part 4: Delving into Complex Systems and the Future of IoT

17. Chapter 13: Developing IoT Solutions for Digital Transformation within Industry 4.0

18. Chapter 14: Architecting Complex, Holistic IoT Environments

19. Chapter 15: Looking Ahead into the Future of IoT

20. Index

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The next 5 years of IoT – what next?

Data analysis is often done at scale to analyze large sets of data using the capabilities of cloud computing services such as AWS. Designing a workflow for the data analysis workflow to follow is the pivotal starting point for this to be performed. This will follow five main categories: collection, storage, processing, visualization, and data security.

In this section, we will be introducing you to data analysis on AWS, discussing which services we can use as part of AWS to perform the data analytics workloads we need it to, and talking through best practices that are part of this. We will understand how to design and incorporate workflows into the current IoT network that we currently have and work with it to better power our capabilities.