一种大数据提交作业执行方法及装置
By creating mapped users for big data jobs on a data sharing and exchange platform, allocating resources and permissions on the big data platform, and combining this with Kerberos authentication, the problems of data security and resource utilization in big data tasks are solved, and secure and efficient multi-system data processing is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZTE CORP
- Filing Date
- 2020-06-30
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the unified processing of superuser privileges for big data tasks poses data security risks and is not easy to manage, especially when data is processed between multiple systems, making it difficult to achieve reasonable resource utilization and security management.
The data sharing and exchange platform creates user configuration mappings for big data jobs and transmits their information to the big data platform, instructing the big data platform to execute jobs according to pre-allocated resources and access permissions. Kerberos authentication is used to ensure security.
It improves data security and resource utilization efficiency in multi-system, multi-user scenarios, ensures reasonable hierarchical and domain-based management of data processing, and avoids security risks caused by unified submission by super users.
Smart Images
Figure CN113868709B_ABST