Need for Big Data Technologies: A Review

Amit Kumar, Suresh Kumar
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Abstract

To achieve better innovation and growth, its highly required to use the analytics and extract required value from the huge amount of data available these days. Complex problems have been solving by leading companies using Big Data technologies. Big Data is the term refer the huge amount of data generating with a very high rate and in different formats (structured, semi structure and unstructured). We have described the five V's of Big Data technologies including Volume, Velocity, Variety, Veracity and Value. Map and reduce function are also explained in this paper. Various sources are generating this data as social media, share trading and online transactions. In this paper we have diagrammatically represent the work flow of the Big Data technologies. This paper also discusses some Big data technologies, various advantages and disadvantages of Big Data technologies are led finally to the conclusion and future scope.
大数据技术的需求:综述
为了实现更好的创新和增长,高度需要使用分析并从目前可用的大量数据中提取所需的价值。复杂的问题已经被领先的公司利用大数据技术解决了。大数据是指以非常高的速率和不同格式(结构化、半结构化和非结构化)生成的大量数据。我们已经描述了大数据技术的五个V,包括体积(Volume)、速度(Velocity)、种类(Variety)、准确性(Veracity)和价值(Value)。本文还对映射函数和约简函数进行了说明。各种来源产生这些数据,如社交媒体、股票交易和在线交易。在本文中,我们用图表表示了大数据技术的工作流程。本文还讨论了一些大数据技术,对各种大数据技术的优缺点进行了归纳,最后给出了结论和未来的范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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