A survey and analysis of big data management based on computational methodologies

Abstract

n a business enterprise there is an enormous amount of data generated or processed daily through different data points. It is increasing day by day. It is tough to handle it through traditional applications like excel or any other tools. So, big data analytics and environment may be helpful in the current scenario and the situation discussed above. This paper discussed the big data management ways with the impact of computational methodologies. It also covers the applicability domains and areas. It explores the computational methods applicability scenario and their conceptual design based on the previous literature. Machine learning, artificial intelligence and data mining techniques have been discussed for the same environment based on the related study.

Unlocking the power and unveiling the challenges of big data management and analysis: insights from diverse domains

“…Technologies such as the Internet of Things, geolocation systems, cameras, smart devices, and social media contribute to the generation of diverse data types used for decision-making, often employing computational intelligence methods like deep learning and artificial intelligence [68]. The management of big data has become more complex with the introduction of new strategies like data lakes, affecting industries across the board [9, 10].The motivation behind this research stems from the increasing importance of managing and analyzing big data, which is essential in various domains, including healthcare, where patient data and medical information are abundant [11,12]. Deep learning and artificial intelligence have found applications in the medical field, but scalability and privacy remain key concerns.…”

“…The motivation behind this research stems from the increasing importance of managing and analyzing big data, which is essential in various domains, including healthcare, where patient data and medical information are abundant [11,12]. Deep learning and artificial intelligence have found applications in the medical field, but scalability and privacy remain key concerns.…”