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Big Data Analytics: A Preliminary Study of Open Source Platforms

机译:大数据分析:开源平台的初步研究

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Nowadays organizations look for Big Data as an opportunity to manage and explore their data with the objective to support decisions within its different operational areas. Therefore, it is necessary to analyse several concepts about Big Data Analytics, including definitions, features, advantages and disadvantages. By investigating today's big data platforms, current industrial practices and related trends in the research world, it is possible to understand the impact of Big Data Analytics on smaller organizations. This paper analyses the following five open source platforms for Big Data Analytics: Apache Hadoop, Cloudera, Spark, Hortonworks, and HPCC.
机译:如今,组织寻找大数据作为管理和探索其数据的机会,目的是支持其不同运营区域内的决策。因此,有必要分析关于大数据分析的几个概念,包括定义,特征,优缺点。通过调查今天的大数据平台,当前的研究世界的工业实践和相关趋势,可以了解大数据分析对较小组织的影响。本文分析了以下五个开源平台,为大数据分析:Apache Hadoop,Cloudera,Spark,Hortonworks和HPCC。

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