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Data Pipeline

A data pipeline is a series of processes that move and transform data from one place to another. It collects data from various sources, cleans and organizes it, and then stores or analyzes it for use. Think of it like an assembly line: raw materials (data) enter, are processed through multiple stages (cleaning, transforming), and exit as finished products (insights or reports). This helps organizations make informed decisions by ensuring they have accurate and usable data when they need it.

Additional Insights

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    A data pipeline is a system that collects, processes, and delivers data from one point to another. Imagine it like a series of interconnected tubes: data flows through these tubes, starting from its source—like sensors or databases—and moving through different stages of processing. Each stage might clean, analyze, or transform the data to make it more useful. Finally, the processed data reaches its destination, such as a dashboard or storage system, where it can be understood and used for decision-making. Data pipelines ensure that accurate and timely information is available when needed.