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An overview and an Approach for Graph Data Processing using Hadoop MapReduce

机译:使用Hadoop MapReduce概述和图形数据处理的方法

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摘要

A very large quantity of data which traditional applications fail to process, leads the world to the era of Big Data. With the increase in opportunity and technology scope, Big Data also leads to many challenges such as data capture, storage, transfer, update, analysis, sharing, search, visualization, privacy of data etc. In order to deal with all these challenges there is a need of proper framework which will not only process the data but also provide a meaningful analysis so as to take proper decision in critical situations either related to industry, healthcare, social network, science, telecom, environment, business etc. The contribution of this paper is to analyze literature related to Big Data & Hadoop framework and provide architecture to process Graph Data. Additionally, it provides online source code in order to understand big data for beginners.
机译:传统应用程序未能处理的大量数据,导致世界到大数据的时代。随着机会和技术范围的增加,大数据也会导致许多挑战,如数据捕获,存储,转移,更新,分析,分享,搜索,可视化,数据等。为了应对所有这些挑战需要适当的框架,这不仅可以处理数据,还提供了有意义的分析,以便在关键情况下采取适当的决定,这些情况与行业,医疗保健,社交网络,科学,电信,环境,业务等有关。这个贡献纸张是分析与大数据和Hadoop框架相关的文献,并提供架构来处理图形数据。此外,它提供在线源代码以了解初学者的大数据。

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