Relational SQL → Tabular DAX / Power BI Desktop
SQL Query to Power BI DAX Translation
Bridge the gap between relational databases and tabular data modeling. Convert standard SQL aggregations, GROUP BY queries, and CASE statements into blazing-fast DAX measures and SUMMARIZECOLUMNS expressions.
Target DAX Table:
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Instant Samples:
SAP WebI Formula ([Object] syntax)
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Power BI DAX Measure
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Syntax Validated
Ready for Power BI Desktop & Fabric
Architecture & Context Transformation:
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SQL to DAX Conceptual Mapping
| SQL Clause | DAX Equivalent Pattern | Role in Power BI |
|---|---|---|
| GROUP BY col1, col2 | SUMMARIZECOLUMNS('Table'[col1], 'Table'[col2], ...) | Creates an aggregated in-memory table. |
| WHERE condition | CALCULATE(..., 'Table'[Col] = "Val") | Modifies the active filter context for measure evaluation. |
| COUNT(DISTINCT col) | DISTINCTCOUNT('Table'[col]) | Counts unique occurrences in VertiPaq column dictionary. |
| COUNT(*) | COUNTROWS('Table') | Fastest row-count method (inspects table metadata). |
| CASE WHEN ... THEN ... END | SWITCH(TRUE(), cond1, val1, cond2, val2, elseVal) | Standard declarative multi-condition branching. |
| HAVING aggregate > val | FILTER(SUMMARIZECOLUMNS(...), [Measure] > val) | Post-aggregation table filtering. |