What is the primary purpose of a Map Function in data transformation?

The primary purpose of a Map Function in data transformation is to apply transform logic to individual field values. This function allows developers to manipulate, modify, or convert data on a per-field basis, ensuring that each field can be processed according to specific transformation rules. The Map Function enables flexibility and precision in data handling, allowing for operations such as changing data formats, applying calculations, or conditionally modifying field values as part of an integration process.

While concatenating multiple string values, aggregating data from various sources, and visualizing data relationships are important tasks in data management, they do not fall under the primary operations of a Map Function. Instead, those tasks may utilize other functions and components within the data transformation process suited for their specific purposes.