Hadoop架构及其问题

2014 International Conference on Computational Science and Computational Intelligence Pub Date : 2014-03-10 DOI:10.1109/CSCI.2014.140

Anam Alam, Jamil Ahmed

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引用次数: 39

摘要

本文描述了Hadoop的缺点。Hadoop是一种用于处理大量数据的分布式范例。这种操作不仅包含对数据的存储和处理。Hadoop通常用于数据密集型应用程序。它实际上保存着大量的数据，并根据需要执行数据分析、结果分析、数据分析等操作。如今，几乎所有的社交媒体都在使用Hadoop来进行意见挖掘等。

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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Hadoop Architecture and Its Issues

This paper describes the shortcomings in Hadoop. Hadoop is a distributed paradigm used to manipulate the large amount of data. This manipulation contains not only storage as well as processing on the data. Hadoop is normally used for data intensive applications. It actually holds the huge amount of data and upon requirement perform the operations like data analysis, result analysis, data analytics etc. Now a day's almost every social media is using Hadoop for many intentions like opinion mining etc.

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2014 International Conference on Computational Science and Computational Intelligence

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