End-to-End Data Ingestion in Power BI: Connecting and Preparing Data from Multiple Sources
Introduction In modern data analytics, the quality of your insights is only as good as the data behind them. Before any visualization or reporting happens, the most critical step is data ingestion,...

Source: DEV Community
Introduction In modern data analytics, the quality of your insights is only as good as the data behind them. Before any visualization or reporting happens, the most critical step is data ingestion,the process of collecting data from multiple sources and preparing it for analysis. In real world scenarios, data rarely exists in one place. As a Data Analyst, you are often required to work with heterogeneous data sources such as Excel files, CSVs, SQL databases, APIs, PDFs, and cloud platforms like SharePoint or Azure. Managing these diverse sources efficiently is a core analytical skill. This is where Power BI Desktop becomes a powerful tool. With its Get Data feature and Power Query Editor, Power BI enables seamless connection, transformation, and preparation of data from multiple environments into a unified model. In this guide, you will learn how to: Connect Power BI to multiple data sources Use Power Query to explore and prepare datasets Identify and resolve data quality issues early