This RADEN video shows how to analyze Databricks job runtime trends and identify potential inefficiencies or bottlenecks.
- Review the past 30 days of job durations, highlighting fluctuations, any consistent upward or downward trend.
- The analysis shows peaks and valleys in runtime, suggesting variability rather than sustained growth in execution time.
- Users can dive deeper for breakdowns of highest/lowest runtime days, request charting, or set up monitoring as a next step.
