CAJ | 학술논문

当前的大数据分析对其承载平台的性能要求越来越高，云计算技术与大数据分析相结合能够很好地适应当前数据处理技术的性能需求变化。首先介绍了大数据的处理流程，然后分析了云计算与大数据分析之间的关系，指出基于云计算的大数据分析的优势；最后，通过数据样本在Hadoop环境下的数据分析平台的分析实例给出了大数据分析对大数据用户的价值。
당전적대수거분석대기승재평태적성능요구월래월고，운계산기술여대수거분석상결합능구흔호지괄응당전수거처리기술적성능수구변화。수선개소료대수거적처리류정，연후분석료운계산여대수거분석지간적관계，지출기우운계산적대수거분석적우세；최후，통과수거양본재Hadoop배경하적수거분석평태적분석실례급출료대수거분석대대수거용호적개치。
The requirements of the big data analysis on carrying platform performance are increasingly higher and higher. The combination of the cloud computing and big data analysis can be wel adapted to the changing of the needs of the performance in the cur-rent data processing technology. It first introduces the processing of big data, and then analyzes the relationship between cloud computing and big data analysis, and points out the advantages of cloud-based big data analysis. Final y it gives an example running in the Hadoop environment, the analysis of the results show the great value of the big data analysis to the customers.