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Trade-Offs between Compression and Data Size in File Formats
The trade-off in file formats lies in the balance between fast random access and data compression. Supporting fast random access makes data compression more challenging, resulting in larger file sizes compared to more compressible formats like Parquet. However, for datasets with pre-compressed data like image blobs, file-level compression may not be crucial. This trade-off is beneficial for AI applications as it optimizes performance without significant sacrifices. By enriching ecosystems with extension types like images, videos, and audio, users can enhance visualization, BI tools, and data engineering pipelines to make better decisions.