Data truncation refers to the process of reducing the size of data by removing or omitting parts of it, which can lead to loss of information and potential errors in data processing or interpretation. It is crucial to handle data truncation carefully to ensure data integrity and accuracy, especially when dealing with databases, data transmission, or data analysis tasks.