What is a common use case for DTS?

A common use case for Data Transformation Services (DTS) is migrating data from an old system to a new database. This process often involves extracting data from the legacy system, transforming it to fit the new database schema if necessary, and then loading it into the new system. DTS provides the necessary tools to handle complex data movement tasks, ensuring that the data is accurately and efficiently transferred.

DTS is particularly effective for this purpose because it can connect to different data sources, apply transformations, and maintain the integrity of the data during the migration process. This can include data cleansing, reformatting, or consolidating data from multiple sources into a single destination.

While backing up databases and performing routine maintenance tasks are essential for database management, they do not specifically leverage the functionalities of DTS in the same way as data migration does. Similarly, creating new database schemas is a design task that is typically outside the primary usage scope of DTS, which focuses on data transfer and transformation rather than schema development.