After processing the data, it is loaded into the data warehouse. After data is pre-processed or cleaned, business rules are applied to transform the data. For example, redundant or missing values are removed from the data sets.
To transform the data, it should be cleaned or pre-processed. Integrated data is not ready to visualize data because the data should be transformed. Then the data is integrated into a standard format and stored at a place called a staging area. 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. The data from various sources can be in different types and formats. Let us discuss these four steps giving insightful information about each one of them.ĭata is extracted from different sources which can be different servers or databases. Power BI Architecture contains four steps. It delivers outstanding business intelligence solutions. Power BI is a business platform that includes several technologies to work together.
Let’s get started! Microsoft Power BI Architecture: In this blog, we are going to provide detailed information about the Power BI Architecture and its components. Want to become a Master in Power BI? Then Enrol here for Microsoft Power BI Training Online Because, you should know how the Power BI services, components are being used to transform the data, create the reports and dashboards. 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.īefore using the Power BI services and features, you should know about the Architecture of Power BI.
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