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 been a bulk or batch process, where developers write code or implement transformation rules within a data integration tool, and then execute that code or those rules on large datasets.