Open AccessThe Design of Intelligence Analysis Platform Based on Big Data
Author(s) -
Zhongchao Shi,
Guolin Zhao,
Qiaolin Hu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2025/1/012088
Subject(s) - intelligence analysis , big data , spark (programming language) , computer science , intelligence cycle , data science , business intelligence , data analysis , computational intelligence , work (physics) , key (lock) , artificial intelligence , knowledge management , data mining , military intelligence , engineering , computer security , mechanical engineering , history , archaeology , programming language
There are many problems in the current intelligence analysis work. Data islands and data transmission monitoring problems have severely restricted the further development of intelligence analysis work. To promote and improve the level of intelligence analysis work, this article mainly introduces how to apply big data to intelligence analysis. It enters into the analysis of the problems faced by the current intelligence analysis platform, focusing on the importance of big data technology for intelligence analysis. The structure and key technologies of big data can effectively solve various problems existing in intelligence analysis work. The structure of the intelligence analysis platform based on big data and the structure of the Hadoop+Spark+Steam platform are designed, including intelligence analysis and intelligence analysis. Functional modules such as data management and intelligence storage. This platform design of this article can effectively improve the effect and efficiency of intelligence analysis, and has very high practical value.