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ETL Pipeline

/ˌiː.tiːˈɛl ˈpaɪpˌlaɪn/noun
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An ETL pipeline is a systematic workflow in data engineering that extracts raw data from various sources, transforms it to ensure quality and compatibility, and loads it into a target system for analysis or storage. This process is a cornerstone of modern data management, enabling efficient handling of vast datasets in big data environments while adapting to real-time needs like machine learning applications.

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ETL pipelines in global tech giants like Google process over 20 petabytes of data daily, equivalent to about 20 million laptops' worth of storage, which powers everything from search algorithms to personalized ads and has revolutionized how we handle information overload in the digital age.

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