- Transformation using SQL SELECT expressions means modifying data while extracting it from the source.
- We apply calculations, filters, and joins directly in the SQL query.
- In my project, we calculated Profit = Revenue – Cost in the SELECT statement itself.
- We also filtered only last 12 months of orders using WHERE clause.
- Columns were renamed using AS for business-friendly names.
- Joins combined Customer and Order tables before loading into Power BI.
- Aggregations like SUM, AVG, or COUNT were performed in SQL to reduce data volume.
- This reduced processing needed in Power Query or Power BI model.
- Helps improve refresh performance and minimizes network load.
- So SQL transformations prepare clean and analysis-ready data at source.
What is transformation using SQL SELECT expressions?
Updated on February 9, 2026
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