Big data has appeared to be one of the most addressed topics recently, as every aspect of modern technological life continues to generate more and more data. This study is dedicated to defining big data, how to analyze it, the challenges, and how to distinguish between data and big data analyses. Therefore, a comprehensive literature review has been carried out to define and characterize Big-data and analyze processes. Several keywords, which are (big-data), (big-data analyzing), (data analyzing), were used in scientific research engines (Scopus), (Science direct), and (Web of Science) to acquire up-to-date data from the recent publications on that topic. This study shows the viability of Big-data analysis and how it functions in the fast-changeable world. In addition to that, it focuses on the aspects that describe and anticipate Big-data analysis behaviour. Besides that, it is important to mention that assessing the software used in analyzing would provide more reliable output than the theoretical overview provided by this essay.
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