Why would an implementer choose zipped CSV over standard CSV for loading data?

Choosing zipped CSV files over standard CSV files primarily revolves around the efficiency offered by the reduced file size. When data files are compressed into a zipped format, they occupy significantly less space compared to their uncompressed counterparts. This smaller size can lead to several advantages during the data loading process.

Firstly, a reduced file size means that the data can be uploaded more quickly, which is particularly beneficial when dealing with large data sets. The process of transferring files over networks can be slower with larger files, and smaller zipped files can mitigate those delays, leading to faster overall loading processes.

Additionally, smaller files require less storage space, which could be particularly important if there are limitations on file sizes imposed by the Workday system or organizational policies. This efficiency enables quicker iterations in testing and implementing data loads, ultimately resulting in a more streamlined implementation experience.

In terms of the other choices, compatibility, security, and user entry speed don't directly flow from the choice of zipped CSV. Zipped files might have compatibility considerations related to software that can handle them, but typically most data processing systems, including Workday, can easily manage zipped formats as long as they are properly configured. Security as a factor usually involves data encryption rather than compression methods, and faster user entry is more related