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You are dealing with a JSON dataset that needs to be shredded into individual fields for further analysis. What steps would you take to effectively shred the JSON data, ensuring that all nested structures and arrays are properly flattened and converted into a tabular format?
A
Use a JSON parser to manually extract fields.
B
Apply a series of regular expressions to match and extract data.
C
Leverage Azure Data Factory's JSON parsing capabilities.
D
Write custom scripts to recursively traverse the JSON structure.