Power Query functions as a deterministic data preparation engine within Business Intelligence systems that operationalizes the Extract-Transform-Load (ETL) paradigm by applying a strictly ordered sequence of procedural steps to raw input datasets before analysis. The theoretical framework dictates that all unstructured or semi-structured source data must undergo mandatory cleansing, normalization, and transformation—including duplicate removal, datatype conversion, and value standardization—to ensure semantic consistency and analytical validity. This concept belongs to the domain of Data Engineering and ETL Pipeline architecture, where it serves as a critical intermediary layer that decouples raw ingestion from downstream visualization and calculation models in tools like Power BI.
Power Query functions as a deterministic data preparation engine within Business Intelligence systems that operationalizes the Extract-Transform-Load (ETL) paradigm by applying a strictly ordered seq…