Grokking Database Fundamentals for Tech Interviews
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Bloom Filters
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A Bloom filter is a space-efficient probabilistic data structure used to test whether an element is a member of a set. Unlike traditional data structures like hash tables, it does not store the actual data but instead uses a bit array and multiple hash functions. While Bloom filters are highly space-efficient, they come with a trade-off: they may generate false positives but never produce false negatives.

  • A false positive occurs when the Bloom filter indicates that an element exists, but the actual data is not present in the database.

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