This is the code repository for Arduino Data Communications, published by Packt.
Learn how to configure databases, MQTT, REST APIs, and store data over LoRaWAN, HC-12, and GSM
Arduino Data Communication focuses on IoT’s Internet aspect, guiding you in setting up your own infrastructure for storing and managing the data collected from sensors. This book goes beyond microcontroller basics, equipping you with the knowledge essential for building real-world projects.
This book covers the following exciting features:
- Explore data storage formats for both local and remote storage solutions
- Build projects that leverage the variety of communication standards
- Set up a database to host data transmitted from various projects
- Use MQTT and RESTful APIs to send data from devices to remote systems
- Prepare for multiple devices using high availability measures
- Use LoRa by implementing a gateway and a client
- Transmit temperature and humidity data over RS-485 and HC-12
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example,
The code will look like the following:
html, body, #map {
height: 100%;
margin: 0;
padding: 0
}
Following is what you need for this book: This book is for embedded systems engineers and electronics engineers who want to build IoT devices and gain insights into storing data collected from these devices, as well as establish communication between devices. The skills you learn in this book will come in handy even if your final product isn't built on Arduino. While prior experience with computers is assumed, expertise with embedded systems such as Arduino is not a prerequisite. Familiarity with Arduino programming will be beneficial, but not necessary.
With the following software and hardware list you can run all code files present in the book (Chapter 1-14).
| Chapter | Software required | OS required |
|---|---|---|
| 1-14 | Arduino IDE 2.2.1 | Windows, Mac OS X, and Linux (Any) |
| 1-14 | Python 3.7 | Windows, Mac OS X, and Linux (Any) |
| 1-14 | JavaScript | Windows, Mac OS X, and Linux (Any) |
| 1-14 | Arduino MKR WiFi 1010 | Windows, Mac OS X, and Linux (Any) |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Robert Thas John is a data engineer with a career that spans two decades. He manages a team of data engineers, analysts, and machine learning engineers - roles that he has held in the past. He leads a number of efforts aimed at increasing the adoption of machine learning on embedded devices through various programs from Google Developers and ARM Ltd, which licenses the chips found in Arduinos and other microcontrollers. He started his career as a software engineer with work that has spanned various industries. His first experience with embedded systems was in programming payment terminals.
The Data Science Workshop - Second Edition
If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.