Parquet is one of the most common file formats in big data. Parquet's columnar storage format allows it to store highly compressed data. Its advantage is that it takes up less space on the hard disk and takes up less network bandwidth, making it ideal for loading into a DataFrame. Parquet ingestion into Spark has been benchmarked at 34 times the speed of JSON.
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