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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.
A Power BI Dataset can work as a collection of data for use in Power BI reports, ... fact tables), and finally the ... Pro Microsoft Power BI Administration: Creating ...
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]
It is available as an add-in in Excel 2010, as a separate download for Excel 2013, and is included by default since Excel 2016. The data modelling engine inside Power Pivot is shared across Microsoft Power BI and SQL Server Analysis Server (SSAS), and may be referred to as xVelocity, VertiPaq, SSAS Tabular, and Power Pivot. [1]
The goal of a dimension table is to create standardized, conformed dimensions that can be shared across the enterprise's data warehouse environment, and enable joining to multiple fact tables representing various business processes. Conformed dimensions are important to the enterprise nature of DW/BI systems because they promote: Consistency.
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.
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Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...