Data extraction is the process of retrieving data from various sources to be used for analysis, storage, or integration into larger systems. It plays a crucial role in data ingestion and preprocessing pipelines, ensuring that relevant data is gathered and prepared for further processing, analysis, or machine learning tasks. This step is vital as it sets the foundation for quality data by selecting the right datasets, formatting them properly, and handling missing or inconsistent values.
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