Example: Upstream Root Cause

Pipeline health is highly effected by its input data sources. Most data quality tools only see the input data health. definity allows pipeline owners to "drill up" to see the pipelines that generates thier input data and analyze the upstream health and root-cause quicly.

1. In the following example the pipeline has a data freshness issue.
2. Once the user expands the stale input it can see the pipeline generating it
3. The quick status view shows the upstream last execution failed which is the real root-cause for the input freshness.
4. If the user clicks on the faulty run he will jump to this pipeline to learn more about the reason for the failure

This rapid upstream analysis allows for fast attribution of issue origin