Question
Why are Parquet files efficient for analytical Spark SQL queries?
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Correct Answer: B. They are columnar and support compression, column pruning, and predicate statistics
Explanation:
Columnar storage reads only relevant fields and compresses similar values well.
Metadata can also help skip unnecessary data.
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