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Research and Practice of Big Data Analysis Process Based on Hadoop Framework


Scalable and Secure Big Data I

A Wavelet-Predominant Algorith

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Abstract


With the rapid development of Internet, Internet of Things (IOT) and cloud computing technology, human society has entered the era of big data. How to mine effective information from massive data, assist decision-making, and realize the value of large data? Big data analysis plays a key role. Based on the analysis of Hadoop's ecological architecture, the basic process of large data analysis based on Hadoop was presented in this study, and the technical recommendation for off-line and real-time typical application scenarios was proposed. Finally, Hadoop was used to build the application environment, and WordCount case was combined to analyze Map and Reduce calculation process, in order to provide some reference value for the construction of big data platform and big data analysis and processing.

KeyWords
Hadoop, big data, MapReduce, distributed systems, stream computing,WordCount



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