Practical – smart home insights with AWS IoT Analytics

In this practical exercise, we will explore IoT data analytics using AWS. Specifically, we will use AWS services such as S3, Glue, Athena, and QuickSight to analyze a dataset of IoT sensor readings collected from a smart home over a period of 1 month.

You will need the following software components as part of the practical:

• An AWS account (you can create one for free if you don’t have one already)
• A dataset of IoT sensor readings (you can create a sample dataset or use a publicly available dataset)

Let’s move to the various steps of the practical, as follows:

1. Download the occupancy detection dataset:
   1. We can obtain a dataset from https://github.com/PacktPublishing/IoT-Made-Easy-for-Beginners/tree/main/Chapter10/analyzing_smart_home_sensor_readings/datatest.csv.
   2. Open the dataset and take note of the fields inside it.
2. To start off, we will have to load our dataset into an Amazon...