| 摘 要: 针对公安机关使用的信息系统普遍存在“数据壁垒”，不利于侦查办案的实际问题，设计并实现了多源异构大数据平台。该平台能够实现侦查、治安、交管等多类业务系统结构化、非结构化、半结构化异构数据的有效汇集整合，通过数据处理、目录管理、分析研判等功能，解决由于数据无法有效利用而导致“信息孤岛”、无法服务于侦查破案的问题。该平台应用结果表明，平台的建设能够有效地汇聚数据资源，实现多源异构数据的分析处理及态势预测，具有较高的行业应用价值。 |
| 关键词: 多源异构数据；大数据平台；SolrCloud |
|
中图分类号: TP391
文献标识码: A
|
| 基金项目: 2019年河南警察学院院级调研课题《多源大数据融合平台的研究与实现》(HNJY-2019-YL-01). |
|
| Construction and Application of Multi-source Heterogeneous Big Data Platform |
|
LIU Qi
|
(Network Security Department, Henan Police College, Zhengzhou 450000, China )
569797767@qq.com
|
| Abstract: Data barriers widely exist in the information systems of public security organs, which are not conducive to investigating and handling cases. Aiming at this problem, this paper proposes a multi-source heterogeneous big data platform. The platform can realize various business systems such as investigation, public security, and traffic management, and effectively collect and integrate structured, unstructured, and semi-structured heterogeneous data. Functions of data processing, catalog management, analysis and judgment are performed to solve problems of information islands and the inability to serve investigations and resolution of cases, due to ineffective use of data. The platform application results show that the platform construction can effectively gather data resources, realize the analysis and processing of multi-source heterogeneous data and forecast the situation. It has high industry application value. |
| Keywords: multi-source heterogeneous data; big data platform; SolrCloud |
