easy5 pts · first answer countsfile-formats

Why Parquet for analytics

Why is Parquet usually preferred over CSV for analytical workloads?

A.Parquet files are human-readable in any text editorB.Parquet stores data row by row, which is faster for analyticsC.Parquet is columnar and compressed, so queries can read only the needed columns and scan less dataD.Parquet does not support data types, so it is simpler

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Why Parquet for analytics

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