Analysis and Possibilities of Parallel Approach in Big Data Processing

The amount of data is growing significantly these days as a result of technological advancements. In processing such large amounts of data, the computing resources of modern computers can also spend a lot of time, which in turn causes problems with the speed of data processing in computational processes. To eliminate such problems, it is advisable to perform parallel processing in computational processes and computing devices and provide the expected speed result. In this article, we will consider the problem of speed in processing large amounts of data, and we will study ways to solve the speed problems in computational processes using OpenMP, one of the most effective parallel processing technologies for central processors. Also, at the end of our research, we will make a comparative analysis of the efficiency achieved through parallel processing technologies and present our comparative results.