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No. The tasks inside a workflow, concretely, would be things like Spark job execution, SQL query execution, download a CSV from the internet to HDFS and load it as a Hive table, etc. Think fancy cron that deals correctly with failures in multistage processes.

The number of pipelines and executions is a function of the complexity of your application, and invariant of the number of records being processed by the batch jobs within those workflows.