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power bi

Power BI is a robust business intelligence tool developed by Microsoft, to analyze and visualize raw data in order to produce actionable insights. It essentially combines data analytics visualization, and best practices to aid organizations in making data-driven decisions. Some key features and reasons for using Power BI include:

  1. Access to Volumes of Data from Multiple Sources: Power BI can handle vast amounts of data from various sources such as Excel, CSV, XML, JSON, and PDF. It utilizes powerful compression algorithms to import and store data within the .PBIX file.

  2. Interactive UI/UX Features: Power BI provides an intuitive and visually appealing interface with features like drag-and-drop functionality and the ability to copy formatting across similar visualizations.

  3. Exceptional Excel Integration: It seamlessly integrates with Excel, allowing users to gather, analyze, publish, and share Excel business data easily.

  4. Accelerated Big Data Preparation with Azure: Power BI, when used in conjunction with Azure, facilitates the analysis and sharing of large volumes of data, reducing the time required for big data preparation.

In terms of the technical details, Power BI is a part of the Microsoft Power Platform, offering a collection of software services, apps, and connectors to transform various data sources into static and interactive data visualizations. It provides both cloud-based BI services known as "Power BI Services" and a desktop-based interface known "Power BI Desktop." The platform also data warehouse capabilities, including data preparation, data mining, and interactive dashboards.

Power BI has a rich history, originally conceptualized by the SQL Server Reporting Services team at Microsoft. It was publicly released as Project Crescent in 2011 and later renamed Power BI for Office 365 in 2013. The platform has continued to evolve, with updates and additional services being introduced over time, such as Power BI Embedded on the Azure cloud platform.

For further information and to explore Power BI's capabilities, you can visit the official Microsoft Power BI website at powerbi.microsoft.com.

Power BI is a technology-driven business intelligence tool provided by Microsoft for analyzing and visualizing raw data to present actionable information. It combines business analytics, data visualization, and best practices that help an organization to make data-driven decisions. In February 2019, Gartner confirmed Microsoft as Leader in the "2019 Gartner Magic Quadrant for Analytics and Business Intelligence Platform" as a result of the capabilities of the Power BI platform. What is Power BI? Power BI is a business analytics service provided by Microsoft that lets you visualize your data and share insights. It converts data from different sources to build interactive dashboards and Business Intelligence reports. As you see above, we have some sales data in an excel sheet. Using this data, Power BI helps you build different charts and graphs to visualize the data. Now that you have learned what is Power BI, let us now understand why Power BI is required. Why Power BI? Following are the reasons why Power BI is so popular and needed in the BI domain: 1. Access to Volumes of Data from Multiple Sources Power BI can access vast volumes of data from multiple sources. It allows you to view, analyze, and visualize vast quantities of data that cannot be opened in Excel. Some of the important data sources available for Power BI are Excel, CSV, XML, JSON, pdf, etc. Power BI uses powerful compression algorithms to import and cache the data within the.PBIX file. 2. Interactive UI/UX Features Power BI makes things visually appealing. It has an easy drag and drops functionality, with features that allow you to copy all formatting across similar visualizations. 3. Exceptional Excel Integration Power BI helps to gather, analyze, publish, and share Excel business data. Anyone familiar with Office 365 can easily connect Excel queries, data models, and reports to Power BI Dashboards. 4. Accelerate Big Data Preparation with Azure Using Power BI with Azure allows you to analyze and share massive volumes of data. An azure data lake can reduce the time it takes to get insights and increase collaboration between business analysts, data engineers, and data scientists. 5. Turn Insights into Action Power BI allows you to gain insights from data and turn those insights into actions to make data-driven business decisions. 6. Real-time Stream Analytics Power BI will enable you to perform real-time stream analytics. It helps you fetch data from multiple sensors and social media sources to get access to real-time analytics, so you are always ready to make business decisions. Now, in this what is Power BI article, you will learn about the architecture of Power BI. Advantages Of Power BI User-friendly interface: Power BI has an intuitive interface allowing users to visualize and analyze data easily. Data integration: Power BI allows users to easily integrate data from various sources, including Excel, SQL Server, and cloud-based sources like Azure and Salesforce. Customizable dashboards: Users can create customized dashboards and reports to display data in a way that is meaningful to them. Real-time data: Power BI supports real-time data processing, which means users can view up-to-date data in their dashboards and reports. Collaboration: Power BI allows users to share their dashboards and reports with others, making collaborating on data analysis projects easy. Disadvantages Of Power BI Limited data processing capabilities: Power BI is not designed for heavy-duty data processing and may struggle with large datasets or complex queries. Limited customization options: While Power BI offers a range of customization options, users may find that they are limited in their ability to create truly unique visualizations and reports. Cost: Power BI is not a free tool, and users may need to pay for additional features or storage space. Power BI Architecture Power BI architecture is a service built on top of Azure. There are multiple data sources that Power BI can conne

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From Wikipedia, the free encyclopedia This article needs to be updated. Please help update this article to reflect recent events or newly available information. (June 2023) Microsoft Power BIDeveloper(s)MicrosoftInitial release11July 2011; 12 years agoStable releaseOctober 2023 Update (2.122.442.0) / October2023; 2months ago[1]Operating systemMicrosoft WindowsTypeData visualizationBusiness intelligenceLicenseProprietaryWebsitepowerbi.microsoft.com Microsoft Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence.[2] 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,[3] XLSX, and SharePoint.[4] General[edit] 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.[5] In March 2016, Microsoft released an additional service called Power BI Embedded on its Azure cloud platform.[6] One main differentiator of the product is the ability to load custom visualizations. History[edit] This application was originally conceived by Thierry D'Hers and Amir Netz of the SQL Server Reporting Services team at Microsoft.[7] It was originally designed by Ron George in the summer of 2010 and named Project Crescent.[8] Project Crescent was initially available for public download on 11 July 2011, bundled with SQL Server Codename Denali.[9] Later renamed Power BI it was then unveiled by Microsoft in September 2013 as Power BI for Office 365.[10] 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.[5] Power BI was first released to the general public on 24 July 2015. It has several versions for desktop, web, and mobile app.[11] 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." [12] Most of the 'visuals' in Power BI started life as Datazen visuals. The software-reviewing company Gartner confirmed Microsoft as leader in the "2019 Gartner Magic Quadrant for Analytics and Business Intelligence Platform" as a result of the capabilities of the Power BI platform.[13] This represented the 12th consecutive year of recognition of Microsoft as leading vendor in the magic quadrant category (beginning three years before the tool was even created).[14] Key components[edit] Key components of the Power BI ecosystem are as follows: Power BI Desktop[15] The Windows desktop-based application for PCs, primarily for designing and publishing reports to the service. Power BI Service The SaaS-based (software as a service) online service. This was formerly known as Power BI for Office 365, now referred to as PowerBI.com, or simply Power BI. Power BI Mobile Apps The Power BI Mobile apps for Android and iOS devices, as well as for Windows phones and tablets. Power BI Gateway Gateways are used to sync external data in and out of Power BI and are required for automated refreshes. In enterprise mode, it can also be used by Microsoft Power Automate (previously called Flows) and PowerApps in Office 365. Power BI Embedded Power BI REST API can be used to build dashboards and reports into the custom applications that serves Power BI users, as well as

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What is Microsoft Power BI? Microsoft Power BI is a business intelligence (BI) platform that provides nontechnical business users with tools for aggregating, analyzing, visualizing and sharing data. Power BI's user interface is fairly intuitive for users familiar with Excel, and its deep integration with other Microsoft products makes it a versatile self-service tool that requires little upfront training. Users can download an application for Windows 10, called Power BI Desktop, and native mobile apps for Windows, Android and iOS devices. There is also Power BI Report Server for companies that must maintain their data and reports on premises. That version of Power BI requires a special version of the desktop app -- aptly called Power BI Desktop for Power BI Report Server. Common uses of Power BI Microsoft Power BI is used to find insights within an organization's data. Power BI can help connect disparate data sets, transform and clean the data into a data model and create charts or graphs to provide visuals of the data. All of this can be shared with other Power BI users within the organization. The data models created from Power BI can be used in several ways for organizations, including the following: telling stories through charts and data visualizations; examining "what if" scenarios within the data; and creating reports that can answer questions in real time and help with forecasting to make sure departments meet business metrics. Power BI can also provide executive dashboards for administrators or managers, giving management more insight into how departments are doing. This Power BI preview shows the reporting and dashboard capabilities that Power BI offers. Who uses Power BI? Though Power BI is a self-service BI tool that brings data analytics to employees, it's mostly used by data analysts and BI professionals who create the data models before disseminating reports throughout the organization. However, those without an analytical background can still navigate Power BI and create reports. Microsoft Power BI is used by both department reps and management, with reports and forecasts created to aid sales and marketing reps, while also providing data for management on how the department or individual employees are progressing toward their goals. In addition, Power BI offers an admin portal for administrators to help configure the implementation of Power BI, as well as usage monitoring and licenses. Key features of Power BI Microsoft has added a number of data analytics features to Power BI since its inception, and continues to do so. Some of the most important features are the following: Artificial intelligence. Users can access image recognition and text analytics in Power BI, create machine learning models using automated ML capabilities and integrate with Azure Machine Learning. Hybrid deployment support. This feature provides built-in connectors that allow Power BI tools to connect with a number of different data sources from Microsoft, Salesforce and other vendors. Quick Insights. This feature allows users to create subsets of data and automatically apply analytics to that information. Common data model support. Power BI's support for the common data model allows the use of a standardized and extensible collection of data schemas (entities, attributes and relationships). Cortana integration. This feature, which is especially popular on mobile devices, allows users to verbally query data using natural language and access results using Cortana, Microsoft's digital assistant. Customization. This feature allows developers to change the appearance of default visualization and reporting tools and import new tools into the platform. APIs for integration. This feature provides developers with sample code and application program interfaces (APIs) for embedding the Power BI dashboard in other software products. Self-service data prep. Using Power Query, business analysts can ingest, transform, integrate and enrich big data into

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