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Microsoft Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence (BI). [7] It is part of the Microsoft Power Platform . Power BI is a collection of software services, apps, and connectors that work together to turn various sources of data into static and interactive ...
Microsoft Power Platform is a collection of low-code development tools that allows users to build custom business applications, automate workflows, and analyze data. [1] [2] It also offers integration with GitHub, Microsoft Azure, Microsoft Dynamics 365, and Microsoft Teams, amongst other Microsoft and third-party applications.
Microsoft Learn is a library of technical documentation and training for end users, developers, and IT professionals who work with Microsoft products. Microsoft Learn was introduced in September 2018. [1] In 2022, Microsoft Docs, the technical documentation library that had replaced MSDN and TechNet in 2016, was moved to Microsoft Learn. [2] [3]
Power Query was first announced in 2011 under the codename "Data Explorer" as part of Azure SQL Labs. In 2013, in order to expand on the self-service business intelligence capabilities of Microsoft Excel, the project was redesigned to be packaged as an add-in Excel and was renamed "Data Explorer Preview for Excel" [4], and was made available for Excel 2010 and Excel 2013. [5]
Microsoft 365 is a family of productivity software, collaboration and cloud-based services, encompassing online services, products formerly marketed under Microsoft Office, and enterprise products and services. This list contains all the programs that are, or have been, in Microsoft Office since it was released for classic Mac OS in 1989, and ...
Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.
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