This article needs to be updated.(June 2023) |
Developer(s) | Microsoft | ||||||
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Initial release | 11 July 2011 | ||||||
Stable release(s) [±] | |||||||
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Operating system | Microsoft Windows | ||||||
Type | Data visualization Business intelligence | ||||||
License | Proprietary | ||||||
Website | powerbi |
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 data visualizations. Data may be input by reading directly from a database, webpage, PDF, or structured files such as spreadsheets, CSV, XML, JSON, [8] XLSX, and SharePoint. [9]
Power BI provides cloud-based BI (business intelligence) services, known as "Power BI Services", along with a desktop-based interface, called "Power BI Desktop". It provides data warehouse capabilities including data preparation, data mining, and interactive dashboards. [10] In March 2016, Microsoft released an additional service called Power BI Embedded on its Azure cloud platform. [11] One main differentiator of the product is the ability to load custom visualizations.
The software was originally used as Power Pivot and Power Query in Microsoft Excel. This application was originally conceived by Thierry D'Hers and Amir Netz of the SQL Server Reporting Services team at Microsoft. [12] It was originally designed by Ron George in the summer of 2010 and named Project Crescent. [13] Project Crescent was initially available for public download on 11 July 2011, bundled with SQL Server Codename Denali. [14] Later renamed Power BI it was then unveiled by Microsoft in September 2013 as Power BI for Office 365. [15] The first release of Power BI was based on the Microsoft Excel-based add-ins: Power Query, Power Pivot and Power View. With time, Microsoft also added many additional features like question and answers, enterprise-level data connectivity, and security options via Power BI Gateways. [10] Power BI was first released to the general public on 24 July 2015. It has several versions for desktop, web, and mobile app. [16]
On 14 April 2015, Microsoft announced that they had acquired the Canadian company Datazen, to "complement Power BI, our cloud-based business analytics service, rounding out our mobile capabilities for customers who need a mobile BI solution implemented on-premises and optimized for SQL Server." [17] Most of the 'visuals' in Power BI started life as Datazen visuals.
Key components of the Power BI ecosystem are as follows:
ETL processes in both the web and desktop versions of Power BI are facilitated in Power Query through built-in connectors to pull data from a wide variety of sources. Power Query provides a GUI which allows users to perform many common data preparation operations without needing to write code, though more advanced operations may be performed through expressions written in the M formula language. [23]
Power BI has many different licenses depending on use.
Some common user licenses are free, pro, and premium. Free users must be part of an organization with a Power BI license. They can consume reports, and can also build, but not publish. In practice, creators need at least a pro license in order to publish reports. Premium users can publish like a pro but also have more features available for developing.
Premium capacity refers to the license of the workspace, not the licenses of its users or creators. Also, access to several features, functionalities, and kinds of content that are exclusively accessible through premium is made possible with a Power BI Premium per-user license. [24] Premium per user is a special workspace license which was added in November 2020, [25] and can be a more affordable alternative to premium workspace licenses for organizations with few users which have advanced analytical requirements. [25]
Paginated reports for Power BI, which can be built with Power BI Report Builder, are a special type of SSRS reports with pagination formatting which can give better control of the layout of reports which need to be printed to paper or PDF. This is in contrast to regular Power BI reports which instead are optimized for presentation or interactivity and exploration on a screen. Paginated reports can, as of 2022, not be made with the regular Power BI Desktop report builder software. Instead, the standalone Power BI Report Builder has to be used, which can be viewed as a descendant of the SQL Server Reporting Services (SSRS) Microsoft Report Builder for Microsoft SQL Server introduced in 2004. It is also similar to the Report Designer in SQL Server Data Tools.
Power BI Paginated reports are saved in the Report Definition Language (.rdl file format), as opposed to the .pbix file of regular Power BI reports. The RDL format is based on XML and was proposed by Microsoft as a benchmark for defining reports with SSRS.
Paginated reports may be more suitable than regular Power BI reports, and may include printing of invoices or other repeated printouts of reports with a similar layout but different content, or for printing reports where text would otherwise overflow due to being cut off by scrollbars.
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Power Pivot, formerly known as PowerPivot, 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.
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. It is, in part, an evolution of the Multidimensional Expression (MDX) language developed by Microsoft for Analysis Services multidimensional models combined with Excel formula functions. It is designed to be simple and easy to learn, while exposing the power and flexibility of PowerPivot and SSAS tabular models.
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