The Power Query Editor is the primary data preparation experience, where you can connect to a wide range of data sources and apply hundreds of different data transformations by previewing data and selecting transformations from the UI. The goal of this interface is to help you apply the transformations you need simply by interacting with a user-friendly set of ribbons, menus, buttons, and other interactive components. The Power Query user experience is provided through the Power Query Editor user interface. Power Query queries can be refreshed manually or by taking advantage of scheduled refresh capabilities in specific products (such as Power BI) or even programmatically (by using the Excel object model).īecause Power Query provides connectivity to hundreds of data sources and over 350 different types of data transformations for each of these sources, you can work with data from any source and in any shape. Power Query offers the ability to work against a subset of the entire dataset to define the required data transformations, allowing you to easily filter down and transform your data to a manageable size. Volume (data sizes), velocity (rate of change), and variety (breadth of data sources and data shapes) In the event that you need to modify the process or query to account for underlying data or schema changes, you can use the same interactive and intuitive experience you used when you initially defined the query. When using Power Query to access and transform data, you define a repeatable process (query) that can be easily refreshed in the future to get up-to-date data. Highly interactive and intuitive experience for rapidly and iteratively building queries over any data source, of any size.Īny shaping is one-off and not repeatable Power Query enables connectivity to a wide range of data sources, including data of all sizes and shapes.Įxperiences for data connectivity are too fragmentedĬonsistency of experience, and parity of query capabilities over all data sources.ĭata often needs to be reshaped before consumption Existing challengeįinding and connecting to data is too difficult Several challenges contribute to this situation, and Power Query helps address many of them. How Power Query helps with data acquisitionīusiness users spend up to 80 percent of their time on data preparation, which delays the work of analysis and decision-making. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data.ĭiagram with symbolized data sources on the right, passing though Power query for transformation, and then going to various destinations, such as Azure Data Lake Storage, Dataverse, Microsoft Excel, or Power BI.
Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Power Query is a data transformation and data preparation engine. In Excel, select the Data tab on the ribbon to see the Get & Transform Data and Queries & Connectionsgroups.
Power Query is a technology embedded in Excel and other Microsoft products designed to help you shape your data. Tip To tell if data in a worksheet is shaped by Power Query, select a cell of data, and if the Query context ribbon tab appears, then the data was loaded from Power Query. You can also set default query load settings in the Query Options window. Power Query offers several ways to create and load Power queries into your workbook.The AddIn provided by Microsoft does require knowledge of the SQL Language, rather allowing you to click your way through the data you want to tranform. Another way to run queries is to use Microsoft Power Query (also known in Excel 2016 and up as Get and Transform).
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