Traditionally, data transformation has been a bulk or batch process, whereby developers write code or implement transformation rules in a data integration tool, and then execute that code or those rules on large volumes of data.
Historically, data transformation has traditionally involved bulk or batch processing, where developers write code or implement transformation rules within a data integration tool to process large datasets.