Transaction data spanning multiple rows
Producing meaningful random or synthetic data, is not always easy when one main transaction/occurence is spread across multiple
rows in the data source. Binubuo Advanced data flows can help you with that. You can define status changes, parent id and
reference id's as well as number and time dependencies, so that totals within a span of rows is acurate and child values is
within the parent value span.
Building a main flow with 3 flow componenents with parent child reference
and a data validation on duration column within the main flow
as well as time flow boundary across main flows.