Human beings keep exploring the physical space using information means. Only recently, with the rapid development of information technologies and the increasing accumulation of data, human beings can learn more about the unknown world with data-driven methods. Given data timeliness, there is a growing awareness of the importance of real-time data. There are two categories of technologies accounting for data processing: batching big data and streaming processing, which have not been integrated well. Thus, we propose an innovative incremental processing technology named after Stream Cube to process both big data and stream data. Also, we implement a real-time intelligent data processing system, which is based on real-time acquisition, real-time processing, real-time analysis, and real-time decision-making. The real-time intelligent data processing technology system is equipped with a batching big data platform, data analysis tools, and machine learning models. Based on our applications and analysis, the real-time intelligent data processing system is a crucial solution to the problems of the national society and economy.
翻译:人类不断利用信息手段探索物理空间。直到最近,随着信息技术的迅速发展以及数据积累的不断增加,人类才能以数据驱动的方法更多地了解未知世界。鉴于数据及时性,人们日益认识到实时数据的重要性。有两类技术用于数据处理:大数据的分类和流流处理,这些没有很好地整合。因此,我们建议采用以Stream Cube命名的创新渐进处理技术,既处理大数据,又处理流数据。此外,我们实施了实时智能数据处理系统,该系统以实时获取、实时处理、实时分析和实时决策为基础。实时智能数据处理技术系统配备了分批大数据平台、数据分析工具和机器学习模型。基于我们的应用和分析,实时智能数据处理系统是解决国家社会和经济问题的关键方法。