In DTS, what is the main purpose of a "workflow"?

The primary purpose of a "workflow" in DTS (Data Transformation Services) is to define the sequence of tasks and control flow logic within a package. Workflows are essential for orchestrating various processes, allowing the user to specify how different tasks are executed, their conditions, and the order in which they should be performed. This structured approach ensures that data is processed efficiently and accurately, enabling different steps in the data transformation process to react appropriately to the outcomes of previous steps.

For example, if one task must execute only after the successful completion of another, the workflow facilitates this logic, streamlining the ETL (Extract, Transform, Load) process. It allows users to manage dependencies between tasks, ensuring that each step occurs in the correct order and under the right circumstances, thus optimizing the overall data processing strategy.

In contrast, displaying error logs, importing and exporting metadata, and managing user sessions are important functions within the data management process but do not capture the essence of what a workflow is designed to achieve in DTS.