What is the function of Compression in data handling?

Compression plays a critical role in data handling by reducing the amount of space data occupies. When data is compressed, it uses algorithms to remove redundancies and encodes the information in a more efficient way, significantly decreasing its size. This reduction in size is particularly useful for storage and transmission purposes. For instance, smaller files take up less storage space on devices and can be transmitted faster over networks, ultimately improving efficiency and performance in both personal and enterprise environments.

In the context of data management, compression is essential for optimizing resources, especially when dealing with large files such as high-resolution images, videos, or datasets. By reducing the size of these files, users can save on storage costs, improve loading times, and streamline data backup and recovery processes.