Data Transformation is the process of converting data from one format to another. This process involves modifying the structure, format, or values of the data to make it suitable for analysis or integration with other data sources. Data transformation can include operations such as normalization, aggregation, filtering, and encoding. It is a critical step in the data processing pipeline, ensuring that data is consistent, accurate, and ready for use in various applications. Data transformation enhances data quality and usability, facilitating better decision-making and insights.