Big Data Frameworks Issues, Challenges, and Needs

Data deluge has already been entered. Data created concurrently by IoT devices and people is referred to as a data deluge. The data flood poses a serious danger to technology but is advantageous to end consumers. Big data is a new trend that companies, sciences, and engineering fields need because all of these fields contain a lot of data that can be used to solve specific problems. The choice to expand into one's own field was made using big data analysis and mining, and this outcome is quite beneficial for doing so. Any firm that engages in big data mining confronts several difficulties, and these difficulties increase the risks associated with decision-making. The notion of big data and data mining is presented in this article along with the data, process, and management-related issues of big data mining. Big data concerns relate to data mining, process challenges to big data, and management issues to the shared element of big data and data mining. We discuss potential concerns and challenges connected to the features of big data in the concluding half of this essay, along with potential solutions. This research article discusses the overall characteristics of big data as well as the current difficulties and constraints in this field. More specifically, it analyses the future course of Big Data research and its future reach.