In Power BI, ETL (Extract, Transform, Load) functions refer to the processes used to extract data from various sources, transform the data into a format that can be analyzed, and load the data into the Power BI data model for analysis and reporting.
Some of the most commonly used ETL functions in Power BI include:
- Power Query: A data connection and transformation tool that enables users to connect to a wide range of data sources, including databases, web services, and spreadsheets, and transform the data into a format that can be analyzed in Power BI.
- Power Pivot: A data modeling tool that enables users to create relationships between data tables, create calculated columns, and build sophisticated data models.
- Power Update: A tool that enables users to refresh data in the Power BI data model and keep the data up-to-date.
- DAX (Data Analysis Expressions): A formula language used in Power BI to create calculated columns, calculated tables, and measure expressions.
- DirectQuery: A feature that enables users to connect to a live data source and query the data directly, rather than loading the data into the Power BI data model.
These and other ETL functions in Power BI enable users to easily connect to and analyze a wide range of data sources, providing a powerful and flexible solution for data analysis and reporting.