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NCA-ADS - Data Manipulation and Preparation - Section 1.7

Use Parquet storage for data.

Use Parquet as a columnar storage format to achieve efficient compression and fast predicate pushdown when reading large datasets. Recognise why Parquet outperforms CSV for repeated analytical reads and how it integrates with cuDF and Dask workflows.

Parquet

More in this domain

Integrate, join, and manipulate data using cuDF and pandas.Section 1.1
Handle data cleaning and data quality.Section 1.2
Build GPU-accelerated ETL workflows.Section 1.3
Apply feature engineering.Section 1.4
Handle class imbalance.Section 1.5
Apply dimensionality reduction.Section 1.6

Back to all Data Manipulation and Preparation objectives, or the NCA-ADS cert hub.

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