Introduction In the world of data analytics, ETL (Extraction, Transformation, and Loading) is a crucial process that forms the foundation of any data visualization project. Whether a beginner or an experienced data professional, understanding the ETL process is essential for creating insightful and accurate visualizations. In this blog, we'll explore the key concepts of ETL, focusing on the transformation stage using Power BI, as demonstrated in the detailed video tutorial. You can find the dataset used in this tutorial here . For those preparing for Power BI interviews, additional resources can be found  here .  Understanding ETL: Extraction, Transformation, and Loading The ETL process involves three primary steps: Extraction : Gathering raw data from various sources. Transformation : Cleaning, organizing, and converting data into a usable format. Loading : Importing the transformed data into a database or data warehouse for analysis. Transformation of Data in Power BI The tr...

Multi-purpose Buttons Join on WhatsApp E-books for International Buyers E-books for Indian Buyers Schedule a Call  Hi, Please watch this video before doing the exercise. ETL-2 video link Download the data from here: Github link Task 1. Get the excel file into the Power BI 2. Launch Power Query Editor 3. Check all the columns are properly named (if not, name it properly) 4. Remove the null values (Rows) 5. Delete the irrelevant columns 6. Add a new table with simple columns. If you face any issues, please comment.