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Parquet is a columnar storage file format designed for efficiency with big data processing frameworks like Apache Hadoop and Spark.
Parquet organizes data by columns rather than rows, which enables better compression and more efficient queries for analytical workloads. It supports nested data structures and is optimized for handling complex data.
Convert table to Parquet to work with systems that support different formats.
Transform table data into Parquet for seamless integration with other tools and workflows.
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