Much of the user interaction with Power Query can be done via graphical user interfaces with wizards, and this can be used for many common or basic tasks. It is similar to the F Sharp programming language, and according to Microsoft it is a 'mostly pure, higher-order, dynamically typed, partially lazy, functional language.' The M language is case-sensitive. It is a mashup language (hence the letter M) designed to create queries that mix together data. Power Query is built on what was then a new query language language called M.

In Excel 2016, the function was renamed Get & Transform for a short time, but has since been named Power Query again.

Power Query was included as an additional feature in Power Pivot (used for making pivot tables, and more) in Excel 20. It is found in software such as Excel, Power BI, Analysis Services, Dataverse, Power Apps, Azure Data Factory, SSIS, Dynamics 365, and in cloud services such as Microsoft Dataflows, including Power BI Dataflow used with the online Power BI Service or the somehwat more generic version of Microsoft Dataflow used with Power Automate.ĮTL is closely related to data modeling, and for transformation, Power Query can be used to develop a logical data model in those cases where the data does not already have one, or where there is a need to further develop the data model. Power Query is available in several variations within the Microsoft Power Platform, and is used for business intelligence on fully or partially self-service platforms. Power Query is an ETL tool created by Microsoft for data extraction, loading and transformation, and is used to retrieve data from sources, process it, and load them into one or more target systems. ( Learn how and when to remove this template message)

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