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Microsoft Power BI is an interactive data visualization software product developed ... Example of a screenshot from the software ... dimension tables, fact tables ...
Fact_Sales is the fact table and there are three dimension tables Dim_Date, Dim_Store and Dim_Product. Each dimension table has a primary key on its Id column, relating to one of the columns (viewed as rows in the example schema) of the Fact_Sales table's three-column (compound) primary key (Date_Id, Store_Id, Product_Id).
Power BI can be used to display trends over time. For example, a company can create a time plot that shows its costs and revenues over a certain period. The data can then be arranged to show per day, month, quarter, year, etc. This requires simple formatting tools so the data can quickly be changed and compared. Power BI allows the user to ...
Power Query is built on what was then [when?] a new query language called M.It is a mashup language (hence the letter M) designed to create queries that mix together data. It is similar to the F# programming language, and according to Microsoft it is a "mostly pure, higher-order, dynamically typed, partially lazy, functional language."
Power Pivot, formerly known as PowerPivot (without spacing), is a self-service business intelligence feature of Microsoft Excel which facilitates the creation of a tabular model to import, relate, and analyze data from a variety of sources.
Queries can drill into different process fact tables separately, then join the results on common dimension attributes. Reduced development time to market. The common dimensions are available without recreating them. Over time, the attributes of a given row in a dimension table may change. For example, the shipping address for a company may change.
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.
For example, for some vendors, a HOLAP database will use relational tables to hold the larger quantities of detailed data and use specialized storage for at least some aspects of the smaller quantities of more-aggregate or less-detailed data. HOLAP addresses the shortcomings of MOLAP and ROLAP by combining the capabilities of both approaches ...
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