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Parallel processing, also known as Parallelism handling, is used for distributed computing in an enterprise setup. To handle a complex job that involves parallelism, the need to have a mechanism to manage jobs that arrives at a concurrent time and distorted order is becoming increasingly important to ensure data integrity and accuracy.
This paper will focus on the topic of high-speed data processing and explore the optimal method for handling data arriving in such a manner, as well as the reasons why such scenarios require parallel processing as opposed to sequential processing.
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