Set up databases to store and retrieve information collected from various sensors
Ingest your data into your database for storage with REST APIs and MQTT
Communicate with your application layer using different communication technologies from Arduino MKR and Portenta H7
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Description
In our modern, internet-connected world, where billions of devices constantly collect and send data to systems to be stored and processed, it’s surprising how the intricacies of data transmission and storage are often overlooked in the IoT domain. With Arduino Data Communications, you'll bridge the knowledge gap and become an expert in collecting data from IoT sensors, transmitting data, and configuring your own databases.
This book is an exploration of IoT’s inner workings, guiding you through the process of setting up an end-to-end system that you can employ to prototype your own IoT solutions, using easy-to-follow examples. It begins with a general overview of the Arduino ecosystem, acquainting you with various sensors and shields and unveiling the art of data collection. You’ll then explore data formats and methods to store data, both locally and on database servers. As you progress through the chapters, you’ll learn how to set up REST and MQTT infrastructure to communicate with databases and get hands-on with LoRaWAN, Ethernet, cellular, HC-12, and RS-485. The final chapters are your training ground for real-world projects, imparting the essential knowledge you need to tackle complex challenges with confidence.
By the end of this Arduino book, you'll have seamlessly configured an end-to-end system, all while immersing yourself in practical scenarios that bring the world of IoT to life.
What you will learn
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
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.
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