Which component is essential for transferring data in DTS?

The essential component for transferring data in DTS (Data Transformation Services) is the data flow. This is because data flow is responsible for moving data from one source to another, transforming it as needed during the transfer process. In DTS, data flow tasks define how data is extracted from a source, processed, and then loaded into a destination.

The data flow ensures that data is not only moved but can also undergo various transformations—like data type conversions, aggregations, and filtering—before reaching its final destination. This component is a critical part of any data integration or migration process, making it foundational for successful data transfer within DTS.

In contrast, other options do not serve the primary function of transferring data. The Task Scheduler helps automate the execution of DTS packages, the Data Dictionary provides information about data definitions but does not move data, and the Data Archive typically involves storing data rather than transferring it.