BigData Analytics Techniques to Obtain Valuable Knowledge

Abstract

Objectives: The rapid change and emergence of the technology are happening more than a decade. The current world has become almost completely a digital and computing world. The objective of this paper is to describe real impact of Big Data analytics techniques in this digital world to obtain valuable knowledge. The essential goal of this paper was to examine about the big data analytics methods and techniques. It has reviewed six of the techniques that are used by the big data researchers to pick up bits of knowledge by processing and analyzing the big data in limited time. The development of these techniques will help us to analyze the big data more effectively and subsequently delivering more productive and gainful outcomes. Methods/Statistical Analysis: We reviewed different analytics techniques for text, audio, video, and social media data, as well as predictive analytics. This paper describes the six Analytics Techniques to obtain valuable knowledge in limited time. Findings: The six analytics techniques which is discussed in this paper is very important to obtain valuable information from big data in limited time, because now a days data is growing at very fast rate. Application/Improvements: This paper presented an overview of most commonly use big data analytics techniques. Keywords: Big Data, Data, Digital, Information, Knowledge, Technology