Parquet is a columnar storage file format optimized for use with big data processing frameworks. It is designed to improve performance and efficiency in storing and processing large datasets. Parquet organizes data into columns rather than rows, enabling better compression and faster query execution times, especially for analytical queries. This format is widely used in data processing ecosystems like Hadoop and Spark, as it allows for efficient reading and writing of data, reducing storage costs and improving processing speeds.