| 摘 要: 当下互联网运营竞争愈发激烈，中小企业急需大数据系统支持业务运营，但普遍缺乏大数据人才，并且实施大数据营销的成本较高。针对中小企业的业务场景，设计一套可视化的大数据治理方案，通过流程调度系统和大数据计算平台，实现大数据模型自动化计算，同时利用容器化技术实现快速部署，满足大数据场景。方案全部采用开源工具，大大降低了使用和维护成本，平台扩展性强，系统稳定性高，支持数据可视化，投入较低的成本就能满足中小企业的大数据运营需求。 |
| 关键词: 可视化；配置；大数据；治理；运营 |
|
中图分类号: TP311
文献标识码: A
|
| 基金项目: 浙江理工大学科技与艺术学院院设科研项目资助(KY2022002). |
|
| Big Data Governance Solution based on Visual Metadata Configuration |
|
ZHENG Xiangping
|
(Keyi College of Zhejiang Sci -tech University, Shaoxing 312369, China )
xiangping2002@163.com
|
| Abstract: With the increasingly fierce competition in Internet business at present, small and medium-sized enterprises are in urgent need of big data system to support business operation, but big data talents are generally in shortage and the cost of implementing big data marketing is high. Aiming at the business scenarios of small and medium-sized enterprises, this paper proposes to design a set of visualized big data governance solutions. The automatic calculation of big data models is realized through the process scheduling system and big data computing platform. At the same time, the container technology is used to realize rapid deployment to meet the big data scenarios. Open source tools are used in all solutions, which greatly reduces the use and maintenance costs. The platform has strong scalability, and the highly stable system supports data visualization. Big data operation needs of small and medium-sized enterprises are, therefore, met at a lower cost. |
| Keywords: visualization; configuration; big data; governance; operation |
