Last updated on Nov 07, 2023
Power BI is a cloud-based business analysis and intelligence agency developed by Microsoft. It is a compilation of business intelligence and data analytical techniques, such as software services, applications and data connectors. We can use data sources extracted into Power BI to visualize and analyze data using shared reports, dashboards, and apps.Power BI is a user-friendly tool that offers remarkable drag-and-drop features and self-service abilities.
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Microsoft is offering three types of Power BI platforms:
We can also deploy Power BI on both on-site and cloud platforms.
Power BI is an integrated system with several various types of data under its supervision.There seems to be a cloud-based BI service called Power BI Services that is used to display and communicate dashboards.A desktop-based report functionality known as the Power BI Desktop.Another useful service is Power BI Embedded, which keeps running on the Azure cloud platform and can be used for reporting, ETL and data analysis.
Now we discuss why it is an important tool in the present market.
Now we will get into the power bi components in detail.
Here are the lists of power BI components. They are:
Now start discussing each and every component of power BI in detail.
Top 50 frequently asked Power BI Interview Questions !
Power Query is one of the most essential components of Power BI. This would be included in your Excel or could be used as a Power BI Desktop component. Using Power Query, you can uninstall data from multiple data sources and retrieve data from a wide variety of different databases, such as Oracle, SQL Server, MySQL, and other databases. You can also retrieve data from records such as text files, CSV files, etc.
Power BI provides you a powerful GUI so that you really can change and use the information you need, such as date and time changes, add columns, modify types and content, and a variety of options. It includes a small language, Power Query M Formula Language, as a code that is more powerful than a GUI.Power Query Formula Language in Power BI is highly secure and optimized for the development of highly highly scalable mashup queries accessible to Power BI Desktop and Power Query. It has several features that cannot be made available by a GUI.
Power Pivot is a data designing and information technology engine. It's being used to model static and dynamic data. You can establish or generate relations between various tables in Power Pivot and quantify values that can be considered in Pivot tables. It provides a tremendous opportunity to build your design.The language used mostly by Power BI Pivot is Data Analysis Expression (DAX), a highly functional language.
Power View is a major aspect of Power BI data visualization. It is an immersive device that connects to data sources and collects metadata that can be used for data collection. There are a lot of image processing blueprints in the Power View list. With Power View, you could even process the data for each visualization element or for the entire report. Slicers can be used to make better dicing of the information.Power View reports are responsive; the user can illustrate some of the data or components in Power View to communicate directly with each other.
Power Map is used to display spatial information in 3D mode. As soon as the visual interface is rendered in 3D mode, it offers some other dimension. In Power Map, one characteristic can be assumed to be the length of a column in 3D and another attribute to be a heatmap view. The data can be illustrated on the basis of a geographical location. Geographical locations may be a country, state, city, or street address.In order to get the best view, Power Map works with Bing Maps related to geographical latitude or longitude or country, state, city or street address data.
Power BI Q&A is a common language engine for questionnaires about your data model. After you have assembled and updated your data model on the Power BI website, you or your customers can ask questions, if any, and find solutions to those questions. There are a few shortcut keys and hints for the development of your framework so that it can respond to questions in the most effective manner possible.
For data visualization, Power Q&A works with Power View so that users can ask any questions, such as the amount of clients per state, and the question is responded in the form of a map view with numbers shown as bubbles by Power Q&A.
Power BI Desktop is a continuous improvement of the Power BI suit. This is an embedded development tool for Power Query, Power Pivot and Power View. It allows you to build advanced queries, models, and reports. Power BI Desktop makes it easy to advance your BI skills and your data analytics experience.
Power BI solutions can be compiled on the Power BI website. You can generate dashboards for your news stories and share them with others, and you can also generate content directly on the Power BI website. With the Power BI website, you can conduct slice and dice online operations using a web browser, and you don't even need any other tools.
Power BI Mobile Apps has three mobile operating system (OS) providers: Android, iOS, and Windows. These frameworks give you lots of an immersive view of Power BI reports and dashboards. You could even share them with your mobile app. A fraction of the documents can be displayed and a note can be written and shared with others.
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In the above content, we had covered all the important components of power BI in detail. One can take a sound knowledge in the power BI technology by learning each and every components of the power BI architecture. However, the above stated information is strong enough to make you realize the importance of the power BI in corresponding to the data visualization, data analysis, etc.
As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.
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