Understanding Big Data: A Comprehensive Guide to Analytics Models and Techniques

Abstract

Big data analytics is the process of examining huge and varied sets in order to uncover hidden patterns, unknown correlations, trends or interactions. The importance of this field has increased over the past few years because of a massive explosion in data generated from diverse sources such as social media, sensors and IoT devices. The research and business sectors are increasingly interested in big data analytics as a means for determining trends within large datasets. The deployment of sensor networks, cyber-physical systems and internet of things (IoT), have generated large amounts of data in many areas such as healthcare, social media. It allows creating the smart city, agriculture finance education. It collects data from different sources for example sensors, social media platforms and banking records. Our work focused on Explore Fundamental Analysis Approaches: Investigate various methods used in big data analysis, Address the Challenges of Big Data: Discuss the complexities businesses face due to the exponential growth of data. Provide Competitive Advantage: Emphasize the importance of reliable information for businesses to outperform competitors.