Overview

On the basis of integrating the underlying technology framework of big data, it focuses on achieving three core functions: data asset management, security control, and intelligent operation and maintenance. It is a platform that integrates cloud storage, cloud computing, massive data mining, data asset management, security control, automated operation and maintenance, and application customization.

Function

Big Data Engine: Provides a one-stop access engine, multi-level storage engine, high-performance computing engine, and easy-to-use scheduling engine.

Data Asset Management: Provides functions such as metadata management, data standard management, data quality management, data lifecycle management, data security management, and data exchange management.

Security Control: Provides functions such as tenant management, system policy management, YARN resource management, Hive permission management, Kafka permission management, and log auditing.

Intelligent Operation And Maintenance: providing functions such as monitoring platform, alarm platform, operation platform, resource management, and cluster maintenance.

Characteristics

Fast: achieving fast transmission, processing, and querying of large-scale data;

Security: Relying on multi tenant security control to provide comprehensive security protection for StreamCloud, ensuring system architecture security and authentication security, and providing file system layer encryption;

Easy to use: Provides a visual unified operation and maintenance management interface, with the characteristics of easy integration, development, analysis and presentation;

Reliable: All components are highly available and provide table-level data backup and recovery as well as intelligent operation and maintenance functions.

Architecture