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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

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.

Common trends and challenges

There are five key main trends and challenges that are on the horizon for the future of IoT:

  • Increased adoption and integration: According to Ericsson’...

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