Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language. It is designed for efficient data storage and retrieval. It excels at handling complex data types and is optimized for query performance, especially for read-heavy workloads where only specific columns are needed. Parquet is commonly used in big data processing frameworks like Spark, Hive, and Impala for storing and querying large datasets.
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