When you configure a mapping to describe the flow of data from source and target, you can also add transformations to transform data. A transformation includes field rules to define incoming fields. Links visually represent how data moves through the data flow.

After you create a mapping, you can run the mapping or you can deploy the mapping in a

mapping

task. The

mapping

task allows you to process data based on the data flow logic defined in a mapping.

In advanced mode, the Mapping Designer updates the mapping canvas to include transformations and functions that enable advanced functionality.

You can configure parameters in a mapping and add the mapping to a

mapping

task or a

dynamic mapping

task.

You can use the same mapping in multiple

mapping

tasks and define the parameters for each

mapping

task.

You can use a

dynamic mapping

task to create and batch multiple jobs based on the same mapping. When you configure the

dynamic mapping

task, you can select the value and scope of each parameter for each job.

For more information about

dynamic mapping

tasks, see

Tasks

in the Data Integration help.

When you create a task, you can associate the task with a schedule to run it at specified times or on regular intervals. Or, you can run it manually. You can also configure advanced session properties. You can monitor tasks that are currently running in the activity monitor and view details about completed tasks in the activity log.