De-aggregate by randomly splitting the dataset into structured and unstructured parts without any specific method.

Use data parsing techniques to separate structured data into tables and unstructured data into text files, handling structured data with SQL and unstructured data with NLP techniques.

Avoid de-aggregation to maintain the simplicity of the data.

De-aggregate by duplicating the dataset multiple times to create separate structured and unstructured datasets.