Book Image

Internet of Things from Scratch

By : Renaldi Gondosubroto
Book Image

Internet of Things from Scratch

By: Renaldi 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)
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

Practical – creating a data pipeline for end-to-end data ingestion and analysis

In this practical, we will look to create a data pipeline based on the AWS console. This will follow the architecture shown in the following diagram:

Figure 10.5 – Data pipeline workflow for data ingestion

Figure 10.5 – Data pipeline workflow for data ingestion

We will have a device send data to a channel. The channel will receive the data and send it through the pipeline, which will pipe the data through to the data store. From the data store, we can then make SQL queries to create a dataset from which we will read the data.

We can now go ahead and start off by creating a channel.

Creating a channel

Let's create our channel as part of the analytics workflow:

  1. If you have not already, sign in to the AWS console. Afterward, navigate to the IoT Analytics console. For your convenience, here is a link to the console: https://console.aws.amazon.com/iotanalytics/.
  2. In the IoT Analytics dashboard,...