Apache Parquet
Apache Parquet: Open-source columnar storage for high-performance analytics
Acerca de Apache Parquet
Apache Parquet is an open-source, column-oriented data file format optimized for efficient storage and retrieval. It supports high-performance compression and encoding, making it ideal for handling large-scale, complex datasets. Widely adopted across programming languages and analytics tools, Parquet enhances data processing speed and reduces storage costs.
Preguntas frecuentes
Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It provides high performance compression and encoding schemes to handle complex data in bulk.
Apache Parquet is supported in many programming languages and analytics tools, though the specific list is not detailed in the provided text.
Contributions are welcome from the community. New users and contributors are always welcome to help improve Parquet together.
You can browse project documentation including the format specification on the Apache Parquet website.
You can follow Apache Parquet on Twitter for announcements of the latest features and updates.
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