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Arduino Data Communications. Learn how to configure databases, MQTT, REST APIs, and store data over LoRaWAN, HC-12, and GSM Robert Thas John

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Arduino Data Communications. Learn how to configure databases, MQTT, REST APIs, and store data over LoRaWAN, HC-12, and GSM Robert Thas John - okladka książki

Arduino Data Communications. Learn how to configure databases, MQTT, REST APIs, and store data over LoRaWAN, HC-12, and GSM Robert Thas John - okladka książki

Autor:
Robert Thas John
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Bądź pierwszym, który oceni tę książkę
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286
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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.

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O autorze książki

Robert Thas John is a Google developer expert in machine learning. His day job involves working as a data engineer on the Google Cloud Platform by building, training, and deploying large-scale machine learning models. He also makes decisions about how to store and process large amounts of data. He has more than 10 years of experience in building enterprise-grade solutions and working with data. He spends his free time learning or contributing to the developer community. He frequently travels to speak at technology events or to mentor developers. He also writes a blog on data science.

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