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Data Lineage & Ownership Map

Document upstream sources, transformation logic, and owner accountability for {{data_asset}}.

Updated June 2026
The prompt
Create a data lineage and ownership document for {{data_asset}}:

1. Upstream sources:
   - Raw data: table name, system, update frequency, SLA
   - Dependencies: APIs, other tables, external feeds

2. Transformation logic:
   - dbt model / SQL / pipeline steps (high-level)
   - Joins, filters, aggregations, calculated fields
   - Data quality checks applied

3. Downstream consumers:
   - Dashboards, reports, ML models, APIs
   - Update cadence expected by consumers

4. Ownership:
   - Primary owner (name, team)
   - Secondary owner / on-call rotation
   - Escalation path for data incidents

5. Known issues & roadmap:
   - Technical debt, schema evolution plans
   - Planned deprecations

Format as YAML, markdown, or wiki page.
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Variables

Table, dataset, or metric name

Details

Author

AI Khazna

License

Security

Type

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