A. Load the JSON data directly into a VARIANT column without any transformations and use LATERAL FLATTEN to extract data during querying.

B. Create a relational schema based on the most common JSON structure and load only those fields into corresponding columns, discarding any other data.

C. Use a CREATE VIEW statement to flatten and transform the VARIANT column into a relational structure for querying.

D. Utilize Snowflake's schema detection feature during loading to automatically create a relational table with appropriate data types for the JSON data.

E. Parse and pre-process the JSON data outside Snowflake to create a consistent relational structure before loading.