Top 6 Microsoft Power BI features that offer you a competitive edge in your job

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Data is meaningless unless it can be visualized from different perspectives for drawing actionable business insights. The integration of Microsoft Power BI and PostgreSQL allows business clients to bank on relevant and accurate business intelligence through proper database queries and visual depiction of data. As a software professional with Microsoft Power BI training, you can proficiently facilitate centralization, analysis, visualization of business data, as well as create strategic queries, for sharing insights in highly visual form.
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PostgreSQL has risen in prominence as one of the most popular databases. With Microsoft Power BI, the cloud-based platform, you can easily create and share data visualizations in real time. Powerful templating features are available for all popular data sources and charts can be built by utilizing the drag and drop functionality. Informative reports, powerfully dynamic dashboards, and highly insightful visualizations can be created with ease to help make informed business decisions.
Advance Your Career Rewardingly with Microsoft Power BI
Organizational managers need faster and real-time insights into the functioning of various processes in an efficient and accurate manner to make conscious decisions. Here lies your chance of creating a niche for yourself riding on the back of powerful features of Power BI.
You can prove your worth as an IT professional who can vest tremendous leverage in the hands of functional managers by learning Microsoft BI. This would give a boost to your career prospects like never before. Just glance through the average salaries commanded by BI developers as reported by top analytics agencies to give your learning spirit the desired fillip.
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 So, this brings us to the moot question. What makes Power BI so powerful? Read on to learn more.
1. Interfacing with Multiple Sources
The Power BI Desktop allows importing of data in any desired volume from different sources. The data can be edited before interfacing or can be shaped even after importing.
You can connect the frontend to any data source, i.e., MS Excel, in-house data sources, streaming data, Cloud, Big Data, Azure analysis services, Google Analytics, Azure SQL Database, Microsoft Dynamics CRM, Oracle, Salesforce, Mailchimp, etc. Any number of sources can be connected. Alignment with newer sources is being done every month.
2. Numerous Customization Options
You can offer a number of tailored reports to help business managers visually explore available data. Visualizations can be created with simple drag-and-drop features for fields that have to be analyzed.





