Data parsing is the process of taking raw data and converting it into a more understandable format. This often involves breaking down complex data structures, such as JSON or XML, into simpler components that can be easily analyzed or manipulated. By organizing the data, it becomes easier for software applications to read and process the information. In many cases, data parsing is essential for tasks like data analysis, data integration, and data migration. It allows developers and data scientists to extract meaningful insights from large datasets, ensuring that the information can be used effectively in various applications, such as machine learning or data visualization.