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Today, we live in an on-command, on-demand with data use multiplying at a very high pace by both individuals and organizations. Due to the rise in use of scientific applications, the scale of data is on the increase and the development of certain discipline rely heavily on the analysis of data which are; structured, semi-structured and unstructured. The conventional system of data management storage and analysis lack the requisite resources for processing the data due to its heterogeneity, volume, and speed of data generated. Therefore, this article presents an overview of big data analytics by discusses its importance, applicability, and challenges. [ABSTRACT FROM AUTHOR]

Today, we live in an on-command, on-demand with data use multiplying at a very high pace by both individuals and organizations. Due to the rise in use of scientific applications, the scale of data is on the increase and the development of certain discipline rely heavily on the analysis of data which are; structured, semi-structured and unstructured. The conventional system of data management storage and analysis lack the requisite resources for processing the data due to its heterogeneity, volume, and speed of data generated. Therefore, this article presents an overview of big data analytics by discusses its importance, applicability, and challenges. [ABSTRACT FROM AUTHOR]