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Data Lake
/ˈdeɪtə leɪk/noun
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A data lake is a scalable storage repository designed to hold vast amounts of raw, structured, and unstructured data in its native format. This approach allows for flexible querying and analysis without the need for predefined schemas, making it essential for modern big data applications like AI and business intelligence, though it requires careful management to avoid becoming a chaotic 'data swamp'.
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The largest data lakes, such as those used by companies like Amazon or Google, can store up to exabytes of data—equivalent to about 50,000 years' worth of daily video uploads to YouTube—which has accelerated scientific discoveries, like mapping the human genome in record time.
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