- Transformation documentation means recording what each data prep step does and why it exists.
- I describe joins, filters, calculated columns, and business rules in simple terms.
- Example: Documented why cancelled orders are excluded from revenue dataset.
- Helps new team members understand dataset without reverse-engineering queries.
- Useful during audits when business asks how KPI numbers are derived.
- Also prevents accidental deletion of important steps during enhancement.
- I usually maintain it in Confluence or a shared data dictionary.
- Supports faster debugging when refresh issues occur.
- Goal is transparency, maintainability, and knowledge continuity.
What is transformation documentation and why is it important?
Updated on February 11, 2026
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