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The simple 4 step Power BI Architecture

What is Power BI ?

It is a collection of tools, services, and connectors that helps a user in integrating, analyzing, and visualizing raw business data and convert it in the form of dashboards or online reports. 

It provides a scalable platform that helps the user to connect, visualize, and share the data with other users or stakeholders to gain deeper insights into the business. 

Power BI Architecture: 

BI Architecture is a platform of Business Intelligence that helps various technology services to work together as a framework, in order to smoothen the process of data handling and visualization. It helps to provide exceptional business intelligence solutions for organizations. It has a collection of IT tools and services that help in the whole data process that is collecting, manipulating, modelling and processing the data. It helps to decode various effective business solutions on the behalf of the analysis, that are quite helpful in the overall growth of any organization. Tracking metrics and enhancing revenue opportunities with analytical BI techniques is a very indispensable technique for growth. 

It is a service that is built on Azure. Power BI is able to work with multiple data sources from Azure to SQL to any other data source online or offline, basically Power BI almost covers them all. Power BI enables you to do reporting and smart visualizations on your datasets that you chose including the data cleaning, and modelling. It also acts as an on-premise gateway for continuous reporting and analytics for further usage. 

Let us discuss the major 4 components of a Power BI architecture which make it an amazing tool for data visualization: 

  1. Transforming and cleaning of data   
  1. Integrating and standardization of data 
  1. BI reporting  
  1. Dashboarding 

Transforming and cleaning of data: 

Integrated Data has a lot data mistakes and errors like missing values, repeating values and much more. This data first needs to be cleaned and pre-processed properly to be transformed. After cleaning the data, it is appropriate to be transformed. Various business rules are applied to transform the data and it is then finally loaded in the data warehouse.  

Integrating and standardization of data: 

First, we need to collect the data and integrate it from various servers and databases. When we do this, it is quite evident that the data is available in multiple formats and data types. If you import any file in Power BI, it usually compresses the data sets up to 1GB, and if the compressed data sets exceed more than 1GB a data query is used. After this, the data is integrated into a standardized format and stored in the place called as staging area.  

BI Reporting: 

Finally, the data is appropriate for reporting. You can easily create reports now from this cleaned data. Reports are useful in creating effective visualizations of the raw data. Visualizations may include various graphing techniques like slicers, bar charts, pie charts and much more to ease out the process of visualization. Visualizations are usually the best way to solve the business processes which eventually lead to strong decision making that is effective and creates a futuristic impact as well. After the reports are created, they can be easily published within the Power BI services or they also have an on-premise Power BI server to make it live on the cloud server. 

Dashboarding: 

To derive important conclusions from the data, it is very important to create the dashboards. Creating a dashboard in Power BI is very easy. It can be easily done by holding individual elements and then publishing reports to the Power BI services. The visuals have a very versatile sorting facility available. You can easily filter your visuals with the required preset settings in a dashboard. Pinning the live report page allows the dashboard users to interact with the visual by choosing some slicers and filters.  

That’s all! We hope you are now clear with the Power BI Architecture. Check out more on Power BI on our blog!

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