What is the correct order of tasks in data structuring?

The correct sequence of tasks in data structuring begins with organizing storage, which sets up a suitable environment for the data being processed. Establishing a structured storage system helps ensure that data is stored efficiently and can be accessed appropriately for further processing.

Next, parsing the source file is crucial as it involves reading and interpreting the data contained within the file. This step converts raw data into a usable format that can be structured.

After parsing, mapping fields is performed to assign specific data to predefined categories or structures. This step enables clearer understanding and utilization of the data by defining how each piece of information fits into the overall schema.

Finally, managing file size is necessary to optimize storage and performance. It helps in deciding how to handle large datasets and ensuring efficient processing throughout the entire data lifecycle.

Therefore, the correct order of tasks is to first organize storage, then parse the source file, followed by mapping fields, and conclude with managing file size. This logical progression helps in building a coherent and efficient data structure.