Big data architecture analysis and data security fusion technology

Xiaojun LIU; Juan WU; Xiaoqing XU

doi:10.11959/j.issn.1000-0801.2020052

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Big data architecture analysis and data security fusion technology

Operation Technology | 更新时间：2024-06-05

- Big data architecture analysis and data security fusion technology
- Telecommunications Science Vol. 36, Issue 7, Pages: 146-155(2020)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2020052
  CLC： TP399
- Published Online：2020-07，
  
  Published：20 July 2020
- 稿件说明：
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Xiaojun LIU, Juan WU, Xiaoqing XU. Big data architecture analysis and data security fusion technology[J]. Telecommunications science, 2020, 36(7): 146-155.
DOI：

Xiaojun LIU, Juan WU, Xiaoqing XU. Big data architecture analysis and data security fusion technology[J]. Telecommunications science, 2020, 36(7): 146-155. DOI： 10.11959/j.issn.1000-0801.2020052.

摘要

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。

Abstract

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.

关键词

Keywords

references

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