Microsoft Power BI
In today's data-driven world, making sense of vast amounts of information is crucial for any business. Microsoft Power BI steps in as a powerful suite of tools designed to transform raw data into stunning, interactive visualizations and actionable insights. It's not just a software; it's a comprehensive platform that helps organizations tell their data's story, empowering smarter decisions. Power BI is a comprehensive ecosystem that transforms diverse data into interactive visualizations, supporting critical business intelligence needs. Its evolution from simple Excel add-ins to a sophisticated cloud-based and desktop platform highlights its adaptability and growing capabilities. The platform offers a variety of components and licensing models, catering to different user roles, organizational sizes, and data deployment strategies, from mobile apps to on-premises servers.
AI Summary
In today's data-driven world, making sense of vast amounts of information is crucial for any business. Microsoft Power BI steps in as a powerful suite of tools designed to transform raw data into stunning, interactive visualizations and actionable insights. It's not just a software; it's a comprehensive platform that helps organizations tell their data's story, empowering smarter decisions.
- Power BI is a comprehensive ecosystem that transforms diverse data into interactive visualizations, supporting critical business intelligence needs.
- Its evolution from simple Excel add-ins to a sophisticated cloud-based and desktop platform highlights its adaptability and growing capabilities.
- The platform offers a variety of components and licensing models, catering to different user roles, organizational sizes, and data deployment strategies, from mobile apps to on-premises servers.
What is Microsoft Power BI?
At its core, Microsoft Power BI is an interactive data visualization software with a laser focus on business intelligence. It's a key member of the Microsoft Power Platform family, designed to empower users with insights from their data.
Think of it as a bridge — connecting disparate data sources and transforming them into easily understandable static and interactive visualizations. It takes complex numbers and patterns and turns them into a visual narrative.
The beauty of Power BI lies in its versatility. It can pull data from an astonishing array of sources: directly from databases, webpages, PDFs, or structured files like spreadsheets, CSVs, XML, and JSON. No matter where your data lives, Power BI can likely access it.
A Unified Platform for Insights
Power BI isn't just one application; it's a collection of software services, apps, and connectors. You can choose to work with its cloud-based services, known as "Power BI Services," or utilize the robust desktop-based interface, "Power BI Desktop."
Beyond just visualization, Power BI offers extensive data warehousing capabilities. This includes essential steps like data preparation, where data is cleaned and structured, and even data mining, which uncovers hidden patterns. The ultimate goal is always interactive, insightful dashboards.
Microsoft also extended Power BI's reach with Power BI Embedded on its Azure cloud platform, allowing developers to integrate Power BI capabilities directly into their own applications. A key differentiator for the product is its ability to load and incorporate custom visualizations, giving users endless possibilities to tailor their reports.
The Journey of Power BI: From Excel Add-in to Ecosystem
Power BI didn't just appear fully formed; it evolved from humble beginnings. Many of its core functionalities first emerged as features within Microsoft Excel, specifically as Power Pivot and Power Query. These tools provided a glimpse into its future potential.
The concept was initially conceived by Thierry D'Hers and Amir Netz from Microsoft's SQL Server Reporting Services team. Designed by Ron George in 2010, it was codenamed "Project Crescent" and first made available in 2011, bundled with SQL Server Codename Denali.
The platform truly took shape when it was unveiled as "Power BI for Office 365" in September 2013, building upon the Excel add-ins like Power Query, Power Pivot, and Power View. Over time, Microsoft added critical features such as natural language Q&A, enterprise-level data connectivity, and robust security options via Power BI Gateways.
A significant milestone was the acquisition of Datazen in 2015, which greatly enhanced Power BI's mobile capabilities. In fact, many of the striking visuals we see in Power BI today began their life as Datazen visuals, enriching the platform's aesthetic and functional appeal.
Finally, Power BI was released to the general public on July 24, 2015, establishing its presence across desktop, web, and mobile app versions. This multi-platform approach ensured that insights were accessible wherever and whenever they were needed.
An Ecosystem of Tools: Key Components
The Power BI ecosystem is rich and varied, offering specialized tools for every part of the data journey. Power BI Desktop is the free, Windows-based application primarily used by analysts and developers to design, model, and publish reports to the service.
The Power BI Service, often simply called PowerBI.com, is the software-as-a-service (SaaS) online platform. It's where published reports and dashboards live, enabling collaboration, sharing, and consumption of insights across an organization.
For insights on the move, Power BI Mobile Apps are available for Android, iOS, and Windows devices. These apps provide a seamless experience for viewing and interacting with reports and dashboards from anywhere, ensuring decision-makers are always informed.
The Power BI Gateway acts as a secure bridge, syncing external data both into and out of Power BI. It's essential for automated data refreshes from on-premises sources and can also integrate with other Microsoft Power Platform tools like Power Automate and PowerApps.
Power BI Embedded uses REST APIs to allow developers to embed Power BI reports and dashboards directly into custom applications. This means businesses can deliver data insights to users without them needing to be Power BI account holders, creating a seamless user experience.
For organizations with strict data residency or compliance needs, Power BI Report Server offers an on-premises reporting solution. It allows companies to publish reports and dashboards without storing data in the cloud-based Power BI Service, keeping everything within their own infrastructure.
Power BI Premium is a capacity-based offering for larger enterprises. It provides dedicated resources for greater scale and performance, allowing reports to be broadly distributed across an organization without requiring individual per-user licenses for every recipient.
The Power BI Visuals Marketplace is a vibrant hub where users can discover and download a wide array of custom visuals. These range from community-created graphics to R-powered visualizations, enabling unique and specialized data storytelling.
Power BI Dataflow brings Power Query's data transformation capabilities to the cloud. It allows for the creation of reusable, transformed data models that can serve as a common, consistent source for multiple Power BI reports, streamlining data preparation across an enterprise.
The Power BI Semantic Model, formerly known as a Dataset, is the curated collection of data ready for reporting. It can either connect directly to source data or import it, serving as the foundation upon which all Power BI reports are built, often sourced from one or more dataflows.
Power BI Datamart combines Dataflows, Semantic Models, and an Azure SQL Database-based data warehouse into a single, user-friendly interface. This powerful integration provides a centralized place for ETL processes, data storage in star schemas, and final data modeling, simplifying complex analytical workflows.
Rounding out the ecosystem, the Power BI Datahub serves as a central repository for discovering and managing Power BI Semantic Models within an organization. It promotes data reuse and provides details on existing datasets, allowing users to easily build new reports or integrate with tools like Excel's Analyze feature.
The Power of Power Query
A foundational element in Power BI's data preparation capabilities is Power Query. It handles Extract, Transform, Load (ETL) processes in both desktop and web versions, using built-in connectors to pull data from an incredibly diverse range of sources.
Power Query boasts an intuitive Graphical User Interface (GUI), empowering users to perform many common data preparation operations without writing a single line of code. For more intricate transformations, users can leverage the robust M formula language, offering deep customization and control.
Navigating Licenses
Power BI offers a variety of licensing options tailored to different use cases and organizational needs. Understanding these licenses is key to maximizing its potential within your business.
User Licenses
Common user licenses include Free, Pro, and Premium. Free users can consume reports and even build them, but they cannot publish their creations without being part of an organization with a Power BI license. Creators typically need at least a Pro license to publish, while Premium users unlock additional advanced development features.
Workspace Licenses
Beyond individual user licenses, there are workspace licenses like Premium capacity, which dictate the resources available to a workspace rather than individual users. Introduced in 2020, Premium per-user is a specialized workspace license that provides an affordable alternative to full Premium capacity for smaller organizations with advanced analytical needs, offering premium features on a per-user basis.
Paginated Reports: Precision Printing
While regular Power BI reports are designed for interactive on-screen exploration, paginated reports offer a different specialization. Built with the Power BI Report Builder, these are a special type of report optimized for precise layout control, particularly when printing to paper or PDF.
Unlike the .pbix files of standard Power BI reports, paginated reports are saved in the Report Definition Language (.rdl) format, an XML-based standard. The Power BI Report Builder itself is a descendant of the SQL Server Reporting Services (SSRS) Microsoft Report Builder, reflecting its heritage in highly formatted enterprise reporting.
Article
Microsoft Power BI
Microsoft Power BI (PBI) is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence (BI). 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, XLSX, and SharePoint.
General
Microsoft Power BI
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. In March 2016, Microsoft released an additional service called Power BI Embedded on its Azure cloud platform. One main differentiator of the product is the ability to load custom visualizations.
History
Microsoft Power BI
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. It was originally designed by Ron George in the summer of 2010 and named Project Crescent. Project Crescent was initially available for public download on 11 July 2011, bundled with SQL Server Codename Denali. Later renamed Power BI it was then unveiled by Microsoft in September 2013 as Power BI for Office 365. 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. Power BI was first released to the general public on 24 July 2015. It has several versions for desktop, web, and mobile app.
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." Most of the 'visuals' in Power BI started life as Datazen visuals.
Key components
Microsoft Power BI
Example of a screenshot from the software
Key components of the Power BI ecosystem are as follows:
Power BI Desktop: 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: Power BI Mobile apps are 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 serve Power BI users and non-Power BI users. Power BI Report Server: An on-premises Power BI is a reporting product for companies that choose not to store data in the cloud-based Power BI Service. Power BI Premium: Capacity-based offering that includes flexibility to publish reports broadly across an enterprise without requiring recipients to be licensed individually per user. This provides greater scale and performance than shared capacity in the Power BI Service. Power BI Visuals Marketplace: A marketplace of custom visuals and R-powered visuals. Power BI Dataflow: A Power Query implementation in the cloud that can be used for data transformations to make a common Power BI Semantic Model, which can then be made available for report developers through Microsoft's Common Data Service. For example, it can be used as an alternative to doing transformations in SSAS and may ensure that several report developers use data that has been transformed similarly. Power BI Semantic Model: A Power BI Semantic Model (formerly Dataset) can work as a collection of data for use in Power BI reports, and can either be connected to or imported into a Power BI Report. A semantic model can be connected to and get its source data through one or more dataflows. Power BI Datamart: Within Power BI, the datamart is a container that combines Power BI Dataflows, datasets, and a type of data mart or data warehouse (in the form of an Azure SQL Database) into the same interface. The interface then has the possibility of being a single place for the administration of both the ETL layer (Dataflow), an intermediary data mart (with for instance storage of star schemas, dimension tables, fact tables), and finally the modeling layer (dataset). Power BI Datahub: A data hub for discovering Power BI datasets within an organization's Power BI Service so that datasets may be reused from one central location. It offers details on the things as well as an access point for working with them, such as building reports on top of them, utilizing them with Excel's Analyze feature, accessing settings, controlling permissions, and more.
Power Query
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 leading to data visualization through data transformation process with a feedback loop attached for real-time updates, without needing to write code, though more advanced operations may be performed through expressions written in the M formula language.
Licenses
Microsoft Power BI
Power BI has many different licenses depending on use.
User licenses
Some of the most 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 ($14.00/month) in order to publish reports, and premium users ($24.00/month) can publish like a pro but also have more features available for developing.
Workspace licenses
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. Premium per user is a special workspace license which was added in November 2020, and can be a more affordable alternative to premium workspace licenses for organizations with few users which have advanced analytical requirements.
Paginated reports
Microsoft Power BI
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 or the recently introduced .pbir format. 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.