An Evaluation of Data Processing Solutions Considering Preprocessing and "Special" Features

R. Jony, Nabeel Mohammed, A. Habib, S. Momen, Rakibul Islam Rony
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引用次数: 2

Abstract

Recently we have witnessed an explosion of data in the digital world. In order to make sense of data, proper tools are required to carry out extensive data analysis. This is especially true with the advent of Big Data and how it is slowly becoming a part of everyday life. In this paper we evaluated multiple data processing tools in light of their data pre-processing features and "special features". These "special features" are a part of the contribution of this paper, as they have been gathered from a literature survey and through interviews of 20 experts from industry and academia. Based on these features 13 tools were scored, from which we selected four for further hands on testing. The hands on testing highlighted the strengths and weaknesses of these tools, giving an insight into their suitability in Big Data processing.
考虑预处理和“特殊”特征的数据处理方案评价
最近,我们目睹了数字世界中数据的爆炸式增长。为了理解数据,需要适当的工具来进行广泛的数据分析。随着大数据的出现,以及它如何慢慢成为日常生活的一部分,这一点尤其正确。本文从数据预处理特征和“特殊特征”两个方面对多种数据处理工具进行了评价。这些“特色”是本文贡献的一部分,因为它们是从文献调查和对20位工业界和学术界专家的采访中收集而来的。基于这些特性,我们对13个工具进行了评分,从中我们选择了4个工具进行进一步的测试。实践测试突出了这些工具的优势和劣势,从而深入了解了它们在大数据处理中的适用性。
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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