Increasing Data Reliability By Using Bigdata Parallelization Mechanisms
Abstract
Nowadays, process management based on digital technologies leads to the minimization of human labor and costs, and a sharp increase in work efficiency. In the current information age and globalization, the rapid increase in the flow of data, the development of storage, processing and transmission of data in network technologies remains relevant. Consequently, the increase in data flow on computer networks creates big data. Big data processing and increasing the reliability of big data serve to create a factor of high-quality data processing. Implementing parallelism and distribution mechanisms to improve data reliability in big data will determine the solution to the problem. This study looked at implementing a parallelism mechanism to improve data reliability in big data improving data reliability in networked systems.