Abstract: Traditional batch-based extraction, transformation, and loading (ETL) of data is not suitable for dynamic real-time data integration. Accordingly, automated, scalable, and optimized management of scheduled executions of integration processes is disclosed. A graphical user interface may be used that comprises a timeline with a time axis, including a schedule section and a metric section that share the time axis. Each integration process is visually represented according to a scheduled start time and end time, and integration processes that overlap in execution time are stacked with respect to the time axis. The metric section comprises a visual representation of parameter(s) of the schedule as a function of time. The graphical user interface may be used to recommend time frames for new integration processes and/or display optimized schedules for the integration processes.