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Big Data Emerging Technologies: A CaseStudy with Analyzing Twitter Data using Apache Hive

机译:大数据新兴技术:使用Apache Hive分析Twitter数据的案例

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These are the days of Growth and Innovation for a better future. Now-a-days companies are bound to realize need of Big Data to make decision over complex problem. Big Data is a term that refers to collection of large datasets containing massive amount of data whose size is in the range of Petabytes, Zettabytes, or with high rate of growth, and complexity that make them difficult to process and analyze using conventional database technologies. Big Data is generated from various sources such as social networking sites like Facebook, Twitter etc, and the data that is generated can be in various formats like structured, semi-structured or unstructured format. For extracting valuable information from this huge amount of Data, new tools and techniques is a need of time for the organizations to derive business benefits and to gain competitive advantage over the market In this paper a comprehensive study of major Big Data emerging technologies by highlighting their important features and how they work, with a comparative study between them is presented. This paper also represents performance analysis of Apache Hive query for executing Twitter tweets in order to calculate Map Reduce CPU time spent and total time taken to finish the job.
机译:这些是增长和创新的日子,为美好的未来。现在,目前的公司必然会意识到需要大数据来决定复杂问题。大数据是一个术语,指的是包含大量数据的大小的大量数据集合,其大小在Petabytes,Zettabytes或高增长率的范围内,以及使它们难以处理和分析使用传统数据库技术的复杂性。大数据是从诸如Facebook,Twitter等社交网站的各种来源生成,并且生成的数据可以是结构化,半结构化或非结构化格式的各种格式。从这一大量数据中提取有价值的信息,新的工具和技术是组织需要推导业务效益,并通过突出显示他们的主要大数据新兴技术的全面研究在他们之间的比较学习,他们的重要特征和它们如何工作。本文还表示对执行Twitter推特的Apache Hive查询的性能分析,以计算地图降低CPU时间花费和完成作业的总时间。

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