Data loaders are components that efficiently load data from a data source (e.g., a database, file system, or API) into a data processing pipeline or application. They typically handle tasks such as data partitioning, parallel loading, data transformation, and error handling to optimize performance and resource utilization. Common use cases include training machine learning models, building data pipelines for analytics, and serving data to applications.
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