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Recent Trends in Distributed Online Stream Processing Platform for Big Data: Survey

机译：大数据分布式在线流处理平台的最新趋势：调查

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There is no doubt that big data has become an important source of information and knowledge, especially for large profitability companies such as Facebook and Amazon. But, dealing with this kind of data comes with great difficulties; thus, several techniques have been used to analyze them. Many techniques handle big data and give decisions based on off-line batch analysis. Today, we need to make a constructive decision based on online streaming data analysis. Stream computing is gaining interest because it provides the opportunity for real-time data analytics. The objective of this paper is to give an in-depth analysis of efficient big data streaming analysis platforms, as well as to provide solutions for some on-line big data processing problems. Additionally, some recent works in big data streaming were highlighted.
机译：毫无疑问，大数据已成为信息和知识的重要来源，特别是对于Facebook和亚马逊等大型盈利能力公司。但是，处理这种数据的难以困难;因此，已经使用了几种技术来分析它们。许多技术处理大数据并基于离线批量分析给出决策。今天，我们需要基于在线流数据分析的建设性决策。流计算正在获得兴趣，因为它提供了实时数据分析的机会。本文的目的是对高效的大数据流分析平台进行深入分析，并为某些在线大数据处理问题提供解决方案。此外，突出显示了大数据流中的一些工作。

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