Unveiling Insights: A Comprehensive Literature Review on Big Data Analytics Trends and Applications

Abstract

The information age has made vast quantities of data accessible to decision-makers. In addition to being large, big data databases are typically very varied and dynamic, making them challenging to use conventional instruments and methods. Because of the speed at which this type of data is growing, solutions must be researched and offered in order to manage and draw information and value from these datasets. From everyday transactions to consumer interactions and social network data, decision makers must also be able to extract insightful information from such diverse and quickly evolving data. Big data analytics, or the application of sophisticated analytics methods to large data, can offer this kind of benefit. The purpose of this article is to examine some of the numerous analytics techniques and resources that may be used with big data, along with the potential that comes with using big data analytics across a range of decision domains.