ETL Automatiza la limpieza de datos con Power Query

Before analyzing data, there's a fundamental step that defines the quality of any report: the ETL process. ETL stands for Extract, Transform, and Load data. In Power Query, this process allows us to gather information from various sources, clean it, standardize it, and prepare it correctly before adding it to the final model or analysis. Why is it so important? Because a good ETL process: Reduces calculation errors Ensures consistent and reliable data Improves model performance Makes reports scalable and easy to maintain In this video, I'll show you how ETL works in Power Query and why dedicating time to this stage makes all the difference between a "pretty" report and a truly robust analysis. Do you work with Excel or Power BI? This step isn't optional: it's the foundation of any well-executed data analysis.