Getting Data from Multiple Sources in Power BI
Introduction If you’re new to Power BI, one of the first things you need to learn is how to bring data into the tool. In real-world projects, your data won’t come from just one place. Power BI brid...

Source: DEV Community
Introduction If you’re new to Power BI, one of the first things you need to learn is how to bring data into the tool. In real-world projects, your data won’t come from just one place. Power BI bridges this gap by allowing analysts to connect, transform, and unify data from multiple sources into a single semantic model. Whether you're working with Excel files, SQL databases, JSON documents, or cloud platforms like SharePoint and Azure, understanding how to connect these sources efficiently is critical for building scalable and insightful reports. In this guide, you will learn how to: • Connect Power BI to multiple data sources efficiently • Use Power Query to preview and explore your data • Detect and resolve data quality issues early • Build a strong foundation for accurate data modeling and reporting Architecture Overview At a high level, our Power BI data architecture consists of: • Power BI Desktop as the reporting and modeling tool • Multiple data sources, including: o Excel and Te