Final answer:
The question refers to data transformation, which is a process used to convert source data from one format or class to another format or class. This is indeed a true statement, as data transformation is a common practice in data processing and information technology for managing and integrating data.
Step-by-step explanation:
The statement presented in the question, "Use a data transform to define how to take source data values — data that is in one format and class — and turn those values into data of another target format and class," is suggesting a method for converting data from one format or structure to another. This process is indeed a key function of data transformation, which is commonly used in areas like data integration, data warehousing, and system migrations. Data transformation can involve a variety of operations, such as extracting data from one or more sources, applying some transformation logic (like converting currencies, combining data fields, filtering, or summarizing), and then loading the transformed data into target systems in a different format or class.
Data transformation is an essential concept within data processing and information technology fields, forming a cornerstone of data management practices. It enables organizations to ensure consistency, data quality, and facilitates interoperability between different systems and technologies.