Apache Spark based analysis on word count application in Big Data

K. Subha, N. Bharathi
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引用次数: 3

Abstract

The rise in the volume of data, as well as the type of data and the rate at which data is produced, has led to the development of novel processing methods capable of working with such massive amounts of data, termed as Big Data. The most difficult aspects of managing Big Data include its collection and storage, as well as search, sharing, analysis, and visualizations. In this paper explain the characteristics, processing, application of bigdata and its challenges. Also explained how big data support Internet of Things and Cloud computing. By combining big data, IOT, Cloud provides the new architecture.
基于Apache Spark的词统计在大数据中的应用分析
数据量的增加,以及数据类型和数据产生速度的增加,导致了能够处理如此大量数据的新型处理方法的发展,称为大数据。管理大数据最困难的方面包括其收集和存储,以及搜索、共享、分析和可视化。本文阐述了大数据的特点、处理、应用及其面临的挑战。同时讲解了大数据如何支持物联网和云计算。通过结合大数据、物联网、云提供新的架构。
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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