We have taken the first steps to separate Control Flow and Data Flow within ADF to provide greater control over complex orchestrations that now facilitate looping, branching, and conditional structures within Control Flow. We have added new flexibility to scheduling by enabling triggering with wall-clock timers or on-demand via event generation. Parameters can now be defined and passed while invoking pipelines to enable incremental data loads.
Full details of the release and features can be found on the Azure Data Factory service page. We encourage you to try these new capabilities, available at public preview pricing.