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Store structured data in the highly efficient Apache Parquet format with full Blueprint and C++ access. Create, read, append, validate, and convert datasets between Parquet, JSON, and Unreal-friendly data structures for analytics, telemetry, reporting, and data pipeline workflows.

Key Features:

• Create and read Parquet files directly from Blueprint or C++

• Append rows to existing datasets

• Schema validation and column type inspection

• Fast metadata and row count queries

• Custom file metadata support

• Convert Parquet files to JSON

• Convert JSON datasets to Parquet

• Convert between Parquet files and FParquetRow arrays

• Automatic column type inference

• Column-filtered reads for improved performance

• Snappy compressed Parquet file generation