Big data: A review of analytics methods & techniques

Yojna Arora, Dinesh Goyal
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引用次数: 12

Abstract

In the current scenario, data is considered to be the biggest assets. One who has maximum relevant data is considered to be rich in the information industry. But only the collection of data is not enough, it needs to be analyzed. This huge amount of data which is termed ass Big Data cannot be analyzed by traditional tools and techniques, rather it requires more advanced Techniques which can make data retrieval, management and storage much faster are required. In this paper an introduction to big data is explained along with a detailed comparative study of various Big Data techniques which have already been implemented. At the end various issues which still exist are enlisted.
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大数据:分析方法和技术综述
在当前场景中,数据被认为是最大的资产。谁拥有最多的相关数据,谁就被认为是信息产业的富人。但是仅仅收集数据是不够的,需要进行分析。这些被称为“大数据”的海量数据不能用传统的工具和技术来分析,而是需要更先进的技术,使数据的检索、管理和存储速度更快。本文对大数据进行了介绍,并对已经实施的各种大数据技术进行了详细的比较研究。最后列举了仍然存在的各种问题。
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