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Counting distinct elements in a stream involves determining the number of unique items in a continuous flow of data without storing the entire stream. Due to challenges like huge data size, limited memory, and single pass processing, approximation algorithms such as Flajolet–Martin and HyperLogLog are used. These methods are essential in big data analytics for applications like website analytics, network monitoring, and fraud detection.

Author

penugondamohankrishna1999

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EN