HyperLogLog is a probabilistic data structure used for estimating the cardinality of a multiset, which refers to the number of distinct elements within a dataset. It efficiently uses hashing techniques to provide an approximation of the count while utilizing minimal memory, making it ideal for large-scale data applications. This method is particularly useful in contexts where traditional counting methods would be computationally expensive or impractical.
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