Wednesday, July 8, 2020

Power Query in Power BI

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Researc h Analyst, Tech Enthusiast, Currently working on Azure IoT Data Science with previous experience in Data Analytics Business Intelligence. Bookmark Become a Certified Professional With Power BI you can connect to the world of data, create compelling and interactive reports, share your efforts with others, and expand their business intelligence efforts. The Power Query helps you to connect to sources, shape and transform the data to meet your needs.This article provides an overview of the feature, but theres way more to learn and the more you play around with your data and understand the feature, the more powerful a tool youve got. Now, its not everything you need to know but the following topics are a great way to start out:OverviewWhat is Power Query?Data SourcesPower Query EditorPower Query in Power BIM Power Query Formula LanguageQuickstart: How to use Power Query in Power BI?Power Query Advanced EditorSaving your workSummarySo, lets get acquainted with this piece of technolo gy. Power Query OverviewSo what exactly is Power Query?What is Power Query?Power Queryis Microsofts Data Connectivity and Data Preparation technology. It basically, enables business users to access data stored in data sources seamlessly whilst, reshaping it to fit their needs. Its easy to use, engaging, even convenient to use for the no-code users.Note: A lot of you might get confused in M and DAX. Let me clarify once and for all that both of them are vastly different from one another. While Mis a mashup querylanguageused to query a multitude of data sources, DAX (or Data Analysis eXpressions) is a formulalanguage which is used to work on data that is stored in tables.Data SourcesSupported data sources include a wide range of file types, databases, Microsoft Azure services, and many other third-party online services. It also provides a Custom Connectors SDK so that third parties can create their own data connectors and seamlessly plug them into Power Query.Power Query EditorThePower Query Editoris the primary data preparation experiencenatively integrated into several Microsoft products, including but not limited to Microsoft Excel, Microsoft Power BI, Microsoft SQL Server Data Tools, etc. This, in turn, allows users to apply over 300 different data transformations by previewing data and selecting transformations in the user experience.These data transformation capabilities are common across all data sources, despite the underlying data source limitations.Power Query in Power BIPower BI Desktop comes equipped with Power Query Editor. You can use the Power Query Editor to connect to one or many data sources, shape and transform the data. You could modify the data in hand to meet your needs, make it more usable, and then load that model into Power BI Desktop.To get to the Query Editor, select Edit Queriesfrom theHome tab of Power BI Desktop. With no data connections, the Query Editor appears quite dull, a blank pane as it should. But once a query is loaded, this Editor view becomes way more interesting. If we connect to a data source, the Query Editor loads information about the data, which you can then begin to shape before basing your model on it.M: Power Query Formula LanguageMicrosoft Power Query provides a powerful data import experience that encompasses many features. Power Query works with Analysis Services, Excel, and Power BI workbooks. A core capability of Power Query is to filter and combine data from a rich collection of data sources that it supports. Any such data mashup is expressed using a functional, case sensitive language known as M Formula Language. It is pretty similar to F# and is used to query a multitude of data sources. It contains commands to transform data and can return the results of the query to either an Excel table or Power BI data model.Quickstart: How to use Power Query in Power BI?Lets get acquainted with theQuery Editor.So, once youve gotten to the query editor, youll have no data connections. The Query E ditorappears as a blank pane, ready for data.If you connect tothis web data source,the Query Editorloads information about the data. You can then begin to shape and transform the same.Once a data connection is established, the Query Editorappears to be something like the following:The ribbon has many buttons, which are now active to interact with the data in the query.In the left pane, queries are listed and available for selection, viewing, and shaping.In the centre pane, data from the selected query is displayed and available for shaping.TheQuery Settingswindow appears, listing the querys properties and applied steps.Power Query Advanced EditorIf you want to see the code that theQuery Editoris creating with each step or want to create your own shaping code, you can use theAdvanced Editor. To launch the advanced editor, selectViewfrom the ribbon, then selectAdvanced Editor option. A window appears, showing the existing query code.You can directly edit the code in theAdvanced Editor window. To close the window, select theDoneorCancelbutton.Saving your workWhen your query is where you want it, you can have the Editor apply the changes to the data model.To do so, select Close Applyfrom Power Query EditorsFilemenu.As progress is made, Power BI Desktop provides a dialogue to display its status.Once you have your query, make sure your work is saved, Power BI Desktop can save your work in a .pbix file.To save your work, selectFile Save As or if youre not saving it for the first time you couldFile Save.SummaryIn this article, you learned about the Power Query feature, its various databases and M language. You also got a brief idea on how to use Query Editor and Advanced Editor in Power BI Desktop whilst learning how to connect to data sources and save your query. To learn more concepts on Power BI,then check out ourPower BI TrainingCertification whichcomes with instructor-led live training and real-life project experience.This training will help you understand Powe r BIin-depth and help you achieve mastery over the subject.Got a question for us? Please mention it in the comments section and we will get back to you.Recommended videos for you Visual Analytics with Tableau Watch Now Data Visualization-How to Make Sense of Data Watch Now Introduction to Pentaho BI Watch Now QlikView â€" Whats Your Business Question? Watch NowRecommended blogs for you Power BI Dashboard Creating Dashboard In Power BI From A Report Read Article Tutorial on Advanced Excel Formulas Read Article Power BI Tutorial: Visualizing Data Like Never Before With Power BI Desktop Read Article Introduction to OLAP in Pentaho Read Article Power BI Architecture: How to work on Data Security Read Article Tableau vs QlikView Which Data Visualization Tool To Choose? 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