Part 7/10:

• Data Cleansing & Profiling: Users can instruct the platform to clean data—removing nulls, replacing missing values, trimming whitespace—and inspect distribution metrics with just a few clicks.

• Data Transformation & Aggregation: Prompted to aggregate total sales and top customers, the platform generates optimized Spark or SQL code, applying transformations such as grouping, rounding, and ordering automatically.

• Real-Time Debugging & Monitoring: The platform displays interim samples at various pipeline stages, enabling users to verify correctness and troubleshoot effectively.

• Execution & Automation: Once configured, pipelines can be scheduled for nightly runs, automatically updating dashboards or reports without extra manual effort.