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Internet of Things from Scratch

Internet of Things from Scratch

By : Renaldi Gondosubroto, Gondosubroto
4.3 (9)
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Internet of Things from Scratch

Internet of Things from Scratch

4.3 (9)
By: Renaldi Gondosubroto, Gondosubroto

Overview of this book

Develop the skills essential for building Internet of Things solutions with this indispensable guide. In an era where industries heavily rely on IoT, this book will quickly familiarize you with its foundations, widespread use, implementation guided by best practices, and the crucial technologies that allow it to work effectively. Starting with the use of IoT in real-life scenarios, this book offers comprehensive insights into basic IoT hardware, protocols, and technologies. You’ll then learn about architecting and implementing solutions such as wireless sensor networks, cloud computing with AWS, and crucial security considerations. You’ll understand how these systems are operated and monitored over time and work with simple to complex, industry-grade systems, adhering to best practices. In later chapters, you’ll be apprised of future IoT trends and strategies to manage the risks and opportunities that come with them. You’ll also get to grips with a diverse set of tools, including hardware such as ESP32 and Raspberry Pi, and software such as Mosquitto and ChatGPT for generative AI capabilities. By the end of this IoT book, you’ll be able to independently build and design complex, industry-standard solutions fully aligned with best practices.
Table of Contents (22 chapters)
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1
Part 1: Getting Started with the Internet of Things
6
Part 2: Developing and Optimizing IoT Systems for Smart Environments
11
Part 3: Operating, Maintaining, and Securing IoT Networks
16
Part 4: Delving into Complex Systems and the Future of IoT

Working with Data and Analytics

Managing data and performing analytics on it is a crucial aspect of any Internet of Things (IoT) deployment. It allows you to gain insights based on the large amounts of data generated by IoT devices and make appropriate decisions based on data to improve operations, increase efficiency, and reduce costs. With Amazon Web Services (AWS) and other cloud providers, there are a variety of services that you can use to analyze and visualize data that you have obtained from your IoT devices, from simple data storage and retrieval options that you can configure without much difficulty to more complex analytics and machine learning (ML) tools, which you may have to learn and fine-tune, that you perform as part of the analysis.

Often, data analytics is the piece of the puzzle that completes the picture that we are trying to architect with our IoT networks, as even with edge networks in which we process data on the edge nodes to reduce costs, there is usually...

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