Analysis / Data engineering and quality
Find orphan records in related business datasets
Find orphan references and unexpected relationship counts across datasets, accounting for permitted retention rules and historical deletions.
Data analyst · Analytics engineer
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Your starting prompt.
Audit relationships between [parent dataset] and [child dataset] for children lacking a valid parent, parents with unexpected child counts and references to inactive records. Apply [relationship rules] and permitted retention exceptions. Show affected counts by source and first observed date, plus sample keys. Prepare an owner review list without deleting or relinking records, and explain where historical deletions prevent a definitive diagnosis.
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Method and review
Keep the assumptions visible.
Profile keys, row counts, types, missing values and join cardinality. Retain source lineage and concrete exception records so a correction can be checked.
For this task, check
Retention policies or historical deletions can create expected orphan references.
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- Bring exports you are allowed to upload, or data your Workspace can already query.
- Choose the reporting period and agree what each record represents.
Work with permitted files or queryable data. Verify the result against the original records.
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Make it your investigation.
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