Data Transformations

Data transformations involve converting data from its original format into a different, more useful form. This process is essential for preparing data for analysis, reporting, or integration with other systems. It includes tasks like cleaning data (fixing errors), changing formats (e.g., dates from text to calendar dates), aggregating information (like summing sales), or restructuring the data layout. Think of it as tuning and organizing raw information so that it’s accurate, consistent, and meaningful for decision-making. Overall, data transformations make data more accessible and valuable for various business purposes.