We all know that Power BI is one of the best BI tools, and many organizations are using this tool to generate reports and dashboards to make effective business decisions.
Before using the Power BI services and features, you should know about the Architecture of Power BI. Because, you should know how the Power BI services, components are being used to transform the data, create the reports and dashboards.
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In this blog, we are going to provide detailed information about the Power BI Architecture and its components.
Let’s get started!
Power BI is a business platform that includes several technologies to work together. It delivers outstanding business intelligence solutions. Power BI Architecture contains four steps.
Let us discuss these four steps giving insightful information about each one of them.
Data is extracted from different sources which can be different servers or databases. The data from various sources can be in different types and formats. If you import the file into the Power BI, it compresses the data sets up to 1GB, and it uses a direct query if the compressed data sets exceed more than 1GB. Then the data is integrated into a standard format and stored at a place called a staging area. There are two choices for big data sets. They are as follows.
Integrated data is not ready to visualize data because the data should be transformed. To transform the data, it should be cleaned or pre-processed. For example, redundant or missing values are removed from the data sets. After data is pre-processed or cleaned, business rules are applied to transform the data. After processing the data, it is loaded into the data warehouse.
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After sourcing and cleaning the data, you can create the reports. Reports are the visualization of the data in the form of slicers, graphs, and charts. Power BI offers a lot of custom visualization to create the reports. After creating reports, you can publish them to power bi services and also publish them to an on-premise power bi server.
You can create dashboards after publishing reports to Power BI services, by holding the individual elements. The visual retains the filter when the report is holding the individual elements to save the report. Pinning the live report page allows the dashboard users to interact with the visual by selecting slicers and filters.
These are basic steps in the Power BI Architecture. Now we are going to discuss components of Power BI and how they work together in the Power BI Architecture.
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Let us learn the components of Power BI Architecture in detail. Here is the list of components.
These components play an important role in delivering the Power BI capabilities. Now, let’s discuss the Components of Power BI Architecture.
Power BI can supply information from different online sources and file types. Import the information into the Power BI or establish a live service to receive the information. If you import the file into the Power BI, it compresses the data sets up to 1GB and, uses a direct query if the compressed data sets exceed more than 1GB. Here is the list of Data Sources supported in Power BI.
Here is the list of Data Sources supported in Power BI.
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It is free software that enables you to connect, transform and visualize the data on your desktop. You can connect to various data sources with the help of Power BI Desktop and combine the data into a data model. This data model allows you to create a collection of images and graphics that make you share the information within the organization as records. The majority of the users who work on Business Intelligence projects use Power BI Desktop to create and share their reports with others.
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Power BI Service is an On-Cloud service with a web-based platform and used to share and publish the reports made on Power BI Desktop. It collaborates the data with other users and creates dashboards. Power BI Service is also called “Power BI Workspace”, “Power BI Web Portal”, and “Power BI Site”. Power BI Service offers wonderful features like alerts and natural language Q&A.
It is available in three versions. They are as follows:
Power BI Report Server is similar to the Power BI Service. It is an On-Premises server platform. Using Power BI Report Server, organizations can secure their data. It enables the users to create reports and dashboards and allows you to share the reports with other users or organizations with proper security protocols. To use this service, you need to have a Power BI premium license.
Power BI Gateway is used to maintain fresh information by connecting to your on-site data sources without transferring the data. It provides secure data and allows you to transfer the data between Microsoft cloud services and on-premise services. Microsoft cloud services include PowerApps, Power BI, Azure Analysis Services, Microsoft Flow, and Azure logic apps. By using a gateway, organizations can maintain the databases and other data sources securely in cloud services.
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Using Power BI Mobile Apps, you can stay connected with on-premises data from anywhere. Power BI apps are available for iOS, Windows, and Android platforms.
Power BI Embedded is an On-premises service in Azure. It offers APIs for embedding the reports and dashboards into custom applications. Till now, we have been discussing major components of the Power BI, and now, we will talk about the remaining components of Power BI as well.
Here is the list of the remaining Power BI Components.
Power Query is the data connectivity that enables the business users to access the data which is stored in multiple data sources and redesign it to satisfy their business requirements. Power Query offers custom connectors SDK so that third-party users can create their data connectors.
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Power BI Query is used to display how the values vary in proportion across the region. It also shows differences with the shadings that range from dark to light. It offers a 3D geospatial Data Visualization Tool.
Power Pivot is an element that stores the information in memory and allows highly compressed data storage and incredibly quick aggregation and calculation. It is also accessible as part of Excel and can be used within an Excel workbook to build a data model. Power Pivot can load information on its own, or Power Query can load information into it. It is highly comparable to the tabular model of SSAS (SQL Server Analysis Services), which is like a Power Pivot server-based variant.
Power View offers interactive visualization that enables a drag-and-drop interface for users to create visualizations quickly and effectively in their Excel workbooks (using the Power Pivot data model).
Power Q & A is the feature of Power BI, and it enables you to explore your data in your own words. In other words, you can use natural language and ask a question to get an answer from your data.
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We hope that you have understood the individual components of Power BI, and now, you will learn how these components work together. You will have a clear understanding of the Power BI Architecture with the help of the below image.
In the above diagram, it is clear that the upper half part represents On-Cloud services, and the lower half part represents the On-Premise services.
If you observe in the top of the image excel, web browsers and other sources are streaming into Power BI components, and they are called data sources. These data sources are authenticated users. Power BI has different data sources like On-Premise, Cloud databases, direct connections, etc.
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Power BI Desktop is accomplished with the authenticating, development and publishing tools. You can transfer the data from data sources to Power BI Desktop. And also, it allows users to create and publish reports on the Power BI Report Server or Power BI Service.
Power BI Publisher allows you to publish the Excel workbooks to the Power BI Report Server. Report Publisher and SQL server Data tools help in creating the KPIs, datasets, paginated reports, mobile reports, etc. All kinds of reports are published at the Power BI Report Server, and from there, reports are distributed to the end-users.
Power BI Gateway is the essential component in the Power BI architecture. The Power BI Gateway acts as a bridge or secure channel to transfer the data from On-premise data to On-cloud data sources or apps.
Cloud side architecture consists of a lot of components including Power suite having datasets, dashboards, reports, Power BI Premium, Power BI Embedded, etc. Users can embed the dashboards, reports into applications, SharePoint, Teams, etc. There are Cloud data sources and they are connected to the Power BI tools.
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In the previous section, you have learned how to publish the created reports in the Power BI Service.
Power BI Service enables the users to create and access the reports, dashboards from the client platforms like mobile devices, websites, etc. User needs to interact with the Power BI Service whenever they want to access the data that is created on the Power BI. So, now, we will learn how the Power BI Service works.
Power BI Service Architecture consists of two clusters. The following are the two clusters.
Now, we will discuss the two clusters in detail.
1. Front End Cluster: Front end cluster acts as an intermediate between the back end cluster and the clients. It is also called a Web Front End Cluster. It establishes the initial connection and authenticates the users or clients using the Azure Active Directory. After user authentication, Azure Traffic Manager directs the user requests to the nearest data centers and Azure Content Delivery Network (CDN) allocates the statice files/content to the users or clients based on the geographical locations.
2. Back End Cluster: It manages the datasets, reports, storage, visualizations, data refreshing, data connections, and other services in the Power BI. At the back end cluster, the web client has only two direct points to interact with the data, i.e., Gateway Role and Azure API Management. These two components are responsible for authorizing, load balancing, routing, authentication, etc.
In this blog, we gave detailed information about the Power BI Architecture, its working, and its components. And also, we have explained the Power BI service and its works.
If you still have queries regarding Power BI Architecture?
Got any questions? Leave a comment below and we will get back to you
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Usha Sri Mendi is a Senior Content writer with more than three years of experience in writing for Mindmajix on various IT platforms such as Tableau, Linux, and Cloud Computing. She spends her precious time on researching various technologies, and startups. Reach out to her via LinkedIn and Twitter.
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