USDP Intelligent Big Data Platform Enterprise Edition

USDP Enterprise Edition benefits

Multiple security Data controllability

Kerberos authentication at the cluster level provides centralized user and service identity authenticity protection, unified user authentication and authorization, and fine-grained permission control to protect cluster data and resources

intelligentize Light weight

Platform architecture component and high availability design, with the ability to manage large scale big data platform. The server side provides control interaction and manages all cluster services; The node controller component is used to lightweight manage all nodes and big data services

Unified monitoring Simplified operation and maintenance

The alarm operation and maintenance center provides centralized monitoring at the cluster level, service level, and custom monitoring, comprehensive monitoring indicators, clear control of big data analysis service status, and supports comprehensive alarm, event management, active alarm, and log search mechanisms

Tool complete Healthy and stable

Provides a rich tool set, such as automatic repair tools, exception repair programs, and exception repair suggestions, greatly simplifying the complexity of the platform/cluster, reducing the difficulty of maintenance, and ensuring the continuous health and stability of the platform to provide services

Product architecture

Product characteristics

Environmental safety certification

Build a strong identity authentication mechanism, implement visual control, significantly enhance the security of the big data ecosystem, ensure information security in the use of cross-domain data resources, and meet compliance requirements.

Unified user management

Through visual unified management, single user login and encrypted transmission are realized, ensuring cross-platform compatibility and openness, and providing all-round security for enterprises.

The service configuration can be rolled back flexibly

The system automatically records service configuration changes and easily traces historical records. The system allows administrators to roll back service configurations to a certain historical point in time when necessary to restore service running status and efficiently manage O&M.

Intelligent monitoring of cluster tasks

YARN and Impala resource pools and computing tasks can be visually managed and monitored by the platform. Dynamic data processing tasks can be controlled graphically to optimize resource allocation and improve cluster data processing performance.

Data development and task diagnostics

Provide a one-stop visual data development platform, seamlessly compatible with stream batch processing and data lake engine, support accurate data analysis task monitoring and task intelligent diagnosis, quickly locate task anomalies and optimize processing.