Abstract
This paper provides a unified description of big data by integrating ideas from academics and practitioners. The primary focus of the paper is the analytical methods applied to big data. The focus this study places on analytics for unstructured data—which accounts for 95% of big data—makes it particularly noteworthy. The massive volumes of data produced by various machine-driven automated systems, including statistical, text, audio, video, sensor, and biometric data, are collectively referred to as "big data." In this essay, we consider the dimensions of various types of large data while addressing their challenges, applications, and problems. In this section, we'll cover social media data analytics along with content-based, text, audio, and video analytics.
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