大数据架构剖析及数据安全融合技术

从剖析大数据通用技术架构入手,总结数据处理的相关流程;分析和对比数据中台、分级构建两种模式的业务场景、管理架构、建设难度、技术要求、数据处理等,总结其适用范围和优缺点;最后聚焦多级架构模式下数据安全融合技术问题,提出相应的解决办法,为行业大数据构建选型提供有益的借鉴和参考。

Big data architecture analysis and data security fusion technology

First of all,the general technical architecture of big data was deeply analyzed,and the relevant processes of data processing were further summarized,Through the analysis and comparison of the two modes of data middle platform and hierarchical construction,the relevant business scenarios,management architecture,construction difficulty,technical requirements,data processing,etc.were summarized,and their adaptation scope,advantages and disadvantages were summarized.The multi-level architecture mode was focused on according to the security fusion technology problems.Then the corresponding solutions were put forward.Finally,for the industry big data construction mode,useful reference was provided.