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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 nameDetails
Author
AI Khazna
License
—
Security
—
Type
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