基于大数据的数据挖掘中容错技术研究

随着互联网的不断发展,应用程序、数据正在迅速增长,大规模数据存储成为大数据技术研究重点,借助数据挖掘技术能更好地为决策者提供信息支撑。容错技术是大数据处理领域中一个前沿且极具挑战性的研究课题。该文依据当前的研究现状和进展,通过对大数据时代数据特征的分析,结合当前技术发展趋势,运用Python技术设计数据挖掘中代码容错技术的改进,并用算法进行实现。测试结果表明,该算法运行良好,系统的健壮性和可靠性大大提高,为大数据和数据挖掘提供理论基础,为海量数据的安全可靠挖掘提供科学有效的技术支撑。

Research on Fault Tolerance Technology in Data Mining Based on Big Data

With the continuous development of the Internet, applications and data are growing rapidly. Large scale data storage has become the focus of big data technology research. With the help of data mining technology, decision makers can better provide information support. Fault tolerance technology is a frontier and challenging research topic in the field of big data processing. According to the current research status and progress, through the analysis of data characteristics in the era of big data, combined with the current technology development trend, this paper uses Python technology to design the improvement of code fault tolerance technology in data mining, and realizes it with algorithm. The test results show that the algorithm runs well, the robustness and reliability of the system are greatly improved, which provides theoretical basis for big data and data mining, and provides scientific and effective technical support for the safe and reliable mining of massive data.