Parquet is an efficient columnar storage file format designed for big data processing, offering superior compression, fast query performance, and broad language support. It's widely adopted by major o
rganizations and integrates seamlessly with data analysis tools, making it ideal for handling large-scale data operations.
Reasons to Read -- Learn:
how Parquet's columnar storage format can significantly reduce storage costs and improve query performance when working with large datasets
proven data storage solution used by major companies like Twitter and Netflix, including practical implementation examples using Python and Pandas
how to overcome performance bottlenecks in Jupyter notebooks by leveraging Parquet's efficient data loading and processing capabilities
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