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You are given a dataset that contains both structured and unstructured data. Describe how you would de-aggregate this data to separate structured and unstructured components, and how you would handle each type of data differently in subsequent analyses.
A
De-aggregate by randomly splitting the dataset into structured and unstructured parts without any specific method.
B
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.
C
Avoid de-aggregation to maintain the simplicity of the data.
D
De-aggregate by duplicating the dataset multiple times to create separate structured and unstructured datasets.