Dataset Quality Audit
A 3-step recipe with Acceldata. We can help you get access.
Recipe · 3 steps
Dataset Quality Audit
with Acceldata
Audit a dataset's quality rules and lineage in one pass.
- List datasets on the given source and capture the first dataset id and its quality score to anchor the audit.
- List the data quality rules applied to the resolved dataset to capture how it is being monitored.
- Retrieve the dataset's lineage graph so upstream sources and downstream consumers affected by quality issues can be identified.
What you'll need to have ready
- apiKey: Acceldata API key sent in the X-API-Key header.
- source: Data source platform to filter datasets by (e.g. snowflake).
- lineageDirection: Direction of lineage to retrieve (upstream, downstream, both).
- lineageDepth: Maximum depth of the lineage graph to return.
For your developer
Arazzo workflow acceldata:dataset-quality-audit, 3 operations: listDatasets → getDataQualityRules → getDatasetLineage. Specs on APIs.io.