Data pipelines are a series of data processing steps that involve the collection, transformation, and storage of data. They are designed to automate the flow of data from one system to another, ensuring that data is processed efficiently and accurately. Key characteristics of data pipelines include their ability to handle large volumes of data, support for various data formats, and integration with different data sources. Common use cases include ETL (Extract, Transform, Load) processes, real-time data streaming, and batch processing for analytics. Data pipelines are essential for organizations looking to leverage data for decision-making and operational efficiency.
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