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Joined: 2024-12-24
In the data transformation phase, developers use Power Query to clean, structure, and optimize raw data for analysis. Tasks include removing duplicates, standardizing formats, filtering unnecessary fields, and applying business logic. Power BI developers may also create calculated columns or measures for deeper insights. This phase ensures data is consistent, accurate, and ready for modeling. Automating transformations reduces manual errors and saves time for recurring processes. Without proper transformation, raw data might produce unreliable insights. By refining data, this phase ensures a strong foundation for effective data modeling and visualization, making it crucial for project success.
