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Applications of Bloom Filters
The following examples represent the top applications of Bloom filters:
1. Database Systems
Bloom filters are commonly used in database systems to optimize query performance. By using a Bloom filter as a pre-filter, unnecessary disk reads can be avoided when querying for non-existent keys. The filter can quickly determine if a key is not in the database, saving time and resources. In distributed databases, Bloom filters can also help reduce network overhead by minimizing the number of remote requests for non-existent data.
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