Databricks Delta Connector > Mappings and mapping tasks with Databricks Delta connector

Mappings and mapping tasks with Databricks Delta connector

Use a mapping to define data flow logic, such as specific ordering of logic or joining sources from different systems. Use the Data Integration Mapping Designer to configure mappings.
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.
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.