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Data Preparation in Power BI: Cleaning, Transforming, and Loading Data with Power Query

DEV Community·Adeniran Shukroh·about 1 month ago
#BUeIBa9i
#beginners#analyst#productivity#tutorial#power#query
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INTRODUCTION Data rarely comes in a ready to use format. Before analysis and visualization, it must be cleaned, structured, and transformed into a reliable dataset. This is where Microsoft Power BI excels, particularly through its powerful data transformation engine, the Power Query Editor is used. Data preparation is a critical step in the analytics lifecycle. Poor-quality data leads to misleading insights, while well prepared data ensures accuracy, consistency, and efficiency. In this blog, we will explore how to clean, transform, and load data effectively in Power BI using Power Query Editor. ARCHITECTURE OVERVIEW Power Query Editor in Microsoft Power BI follows a structured ETL(Extract, Transform and Load)based architecture that drives the entire data preparation process from raw sources to analysis ready data. The architecture begins with data sources such as Excel, SQL Server, APIs, and SharePoint, where raw data is imported into Power BI.…

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