基于大数据的综合数据一体化系统设计与优化方法研究

Research on design and optimization method of comprehensive data integration system based on big data

随着信息技术的快速发展,大数据已经成为众多领域研究的核心话题。处理和管理这些海量数据,尤其是非结构化数据,对现有的数据系统提出了更高的要求。为此,文章设计了一个基于大数据的综合数据一体化系统,并对其性能进行了优化。其中,首先分析了系统的基本需求,明确了系统架构中OLAP和OLTP两大模块的职责和交互方式;其次通过实际数据测试确保了系统功能的完整性和性能的稳定性。在深入了解系统的潜在瓶颈后,提出了一系列针对数据处理、存储和管理模块的优化策略,以提高系统的运行效率,进而为将来的大数据应用提供更为坚实的支撑。

With the rapid development of information technology,big data has become a core topic of research in many fields.Processing and managing these massive amounts of data,especially unstructured data,places higher demands on existing data systems.Therefore,this article designed a comprehensive data integration system based on big data and optimized its performance.Firstly,the basic requirements of the system were analyzed,and the responsibilities and interaction methods of the OLAP and OLTP modules in the system architecture were clarified.Secondly,the integrity of system functionality and stability of performance were ensured through actual data testing.After gaining a deep understanding of the potential bottlenecks of the system,a series of optimization strategies for data processing,storage,and management modules were proposed to improve the operational efficiency of the system and provide more solid support for future big data applications.