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.

Datasets support multi-row data for transactions spanning multiple rows.

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.

But wait, There's more!: 1 to many flows supported within the same dataset.; Correct and realistic rollup values from children to parent records.; Correct and precise tracking of time and dates across flows.

Next feature: Generators at the Core

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Transaction data spanning multiple rows

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