Data transformation is the process of converting data from one format or structure into another, often with the goal of making it more suitable for analysis or for a specific application. This can involve tasks such as cleaning, encoding, aggregating, or filtering data to ensure it is accurate, consistent, and useful. Data transformation is a crucial step in the data processing pipeline and is often necessary in order to extract meaningful insights from raw data.