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Category: File Formats
Category: File Formats
Apache Arrow is a language-agnostic columnar memory format designed for efficient data interchange and in-memory analytics in machine learning workflows.
Arrow defines a standardized memory layout for columnar data that can be shared between processes without serialization. It uses zero-copy reads for maximum performance.
The format includes a rich type system supporting nested and complex data structures common in ML pipelines.
Arrow eliminates the overhead of data conversion between tools, speeding up ML pipelines by 10-100x. It enables true interoperability between Python, R, Java, and other languages.
Modern ML tools like Pandas 2.0, Polars, and Ray use Arrow as their internal format.
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