大数据分析与计算体系架构研究

Research on Architecture of Big Data Analysis and Computation

大数据分析是找出隐藏于数据信息中有用信息的主要方式,是挖掘有用信息的主要途径。它可以通过分析挖掘出有用信息,为科学决策提供依据。大数据计算可以看作是一个求解大数据计算问题的过程。与传统的计算理论相比,大数据计算涉及到海量数据的计算问题。因此,传统计算技术很难满足大数据计算需求,需构建一种适合计算海量数据的大数据计算体系,满足大数据计算复杂性理论需求。通过梳理大数据分析与大数据计算的概念,提出了大数据计算体系架构图,对其进行深入分析和研究,希望能为大数据分析与大数据计算研究者提供参考和借鉴。

Big data analysis is the main way to find out useful information hidden in data information and the main way to mine useful value information. By analyzing and mining useful information, it provides a basis for scientific decision-making. Big data computing can be regarded as a process of solving big data computing problems. Compared with traditional computing theory, it can be regarded as a process of solving big data computing problems. Big data computing involves the calculation of massive data, traditional computing technology is difficult to meet the needs of big data computing, therefore, it is necessary to build a big data computing system suitable for massive data, to meet the theoretical needs of big data computing complexity. Through combing the concepts of big data analysis and big data computing, this paper puts forward the big data computing architecture, and carries out in-depth analysis and Research on it. It is hoped that this study can provide reference for researchers in big data analysis and big data computing.