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Answer: 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.
Option B is the correct approach as it involves using appropriate data parsing techniques to separate structured and unstructured data, handling each type differently with suitable analytical tools, ensuring effective analysis of both data types.
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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.