The changing technology prospect is described by the phrase Big Data that resulted in a large amount of data, a greater variety of data sources, a continuous flow of data and multiple data formats. As such data is growing rapidly, there is a need for advanced analytic techniques that operates on such data and extracts effective information, unknown patterns, and relationships that help in making decisions. Big Data Analytics provides such valuable insight. In this paper, we start with a definition of Big Data. Then we provide the systematic structure that divides the Big Data system into five sections namely data generation, acquisition and storage, data processing, data querying, and data analytics. This paper is also providing a brief overview of different techniques and technology used in Big Data Analytics.
CITATION STYLE
Dhankhar, A., & Solanki, K. (2019). A comprehensive review of tools & techniques for big data analytics. International Journal of Emerging Trends in Engineering Research, 7(11), 556–562. https://doi.org/10.30534/ijeter/2019/257112019
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