The challenges of dealing with big CSV exports stem from the underspecification of the file format, which can result in data corruption and inefficiency in processing. CSV files lack good compression and performance, making it cumbersome to work with large datasets. File formats like Apache Parquet offer self-describing files, good compression, and efficient data loading, making them more suitable for working with tabular data.
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