Review Article Open Access

An Overview of Big Data Mining and Its Application

Abstract

The field of big data is currently gaining prominence as a subject of research and is often discussed in contemporary discourse. The use of big data is poised to exert a substantial influence on several domains such as research, business, industry, government and society. These sectors are anticipated to undergo a comprehensive transformation in the forthcoming years. The concept of big data is frequently elucidated by considering its key dimensions, namely volume, velocity, veracity and variety. In order to classify a problem as a Big Data problem, it is generally considered that either all or any one of the specified criteria must be satisfied. The exponential growth in data production is attributed to the remarkable capabilities of computing and communication equipment, as well as our unparalleled ability to collect, capture and distribute extensive amounts of data. In contemporary times, the rapid influx of data surpasses the processing capabilities of conventional algorithms. Consequently, ensuring data quality remains a significant challenge that necessitates addressing either during the data pre-processing phase or through the use of advanced learning algorithms. In addition to the quantitative dimension of data, a significant worry arises from the extensive range of data that is accessible for a particular topic of study. The task of extracting pertinent information from this vast array of data poses a formidable challenge. The objective of the present research paper is “to present an overview of big data, characteristics and its application and discusses challenges and their potential solutions”.

Pooja Sharma*, B.D.K. Patro

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