Chapter 15: Applications of Bloom Filter in Big data
Abstract
Today's technology is facing a big issue: the massive volume of data known as Big data. However, Big data is not just an enormous volume of data; instead, the concept involves variety, complexity, and issues in generating, collecting, processing, analyzing, and storing data. New technologies are developed to handle Big data. However, redundant data increases the data volume, which leads to other complications. Bloom Filter is the best solution to remove redundant data. Its simple architecture requires a low footprint, hence, lower overhead. The operations of Bloom Filter take constant time; thus, it can handle the incoming data speed smoothly. This chapter discusses the role of Bloom ...
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