When transferring data between a client and a server, what process is commonly employed?

Data serialization is the process that is commonly employed when transferring data between a client and a server. This involves converting data structures or object state into a format that can be easily stored or transmitted and reconstructed later. When a client requests data from a server, the server serializes the data into a format such as JSON or XML. This format allows the data to be sent over a network in a way that both the client and server can interpret correctly.

Serialization ensures that the data maintains its structure and types as it moves between different environments, such as from a server to a client running a web browser or a mobile application. This is crucial for web APIs where flexibility and interoperability between different systems are key.

Data visualization, data mining, and data warehousing refer to different processes related to data analysis and storage rather than the data transfer itself. Data visualization focuses on representing data graphically; data mining involves extracting patterns and knowledge from large amounts of data; whereas data warehousing pertains to storing and managing large volumes of data in an organized manner for analysis and reporting. These processes do not directly address the methods for transferring data, making serialization the most appropriate choice.