The Preferred Choice for IoT Data Storage: Parquet Files

In the realm of the Internet of Things (IoT), where an unprecedented amount of data is generated every second, efficient storage and processing become critical.

One file format that has gained significant popularity in the IoT ecosystem is the Parquet file format.

In this article, we will explore the reasons behind the preference for Parquet files in IoT and provide a Python program as an example to illustrate its advantages.

We’ll use the Pandas library for data manipulation and the PyArrow library for working with Parquet files

Scenarios — Let’s say in layman terms the data collected from various sensors is stored in a large, organized library. Each shelf in this library represents a specific attribute, such as temperature, occupancy, or energy consumption. However, finding a particular piece of information in this library can take time.

Now, consider the library is organized into sections, each dedicated to a specific date or time period. For instance, there is a section for data collected on January 1st, another for January 2nd, and so on. This makes it much easier to locate information quickly — you can go directly to the section you need.