Efficient Data Management and Visualization: Techniques for Handling Big Data in Modern Computing

Abstract

The exponential growth of data has necessitated the development of sophisticated computing techniques to manage, analyze, and visualize big data. This paper reviews the current state-of-the-art techniques in big data computing and presents a comprehensive analysis of methods for efficient data analysis and visualization. Key areas covered include distributed computing frameworks, data processing pipelines, and advanced visualization techniques. The paper aims to provide insights into how these techniques can be leveraged to enhance data analysis, support decision-making, and drive innovation across various domains.