Product Introduction:

Hualichuangtong Data Center provides a comprehensive big data service ecosystem, focusing on building a comprehensive solution supported by digital empowerment, innovation, and transformation of big data infrastructure capabilities. Help users accelerate the construction of smart+projects, break down information silos and data segmentation, and achieve data co construction, co governance, and sharing.

Data sharing and exchange platform: The data sharing and exchange platform can establish a multi-level, cross regional, and multi departmental enterprise level data exchange support network, supporting the rapid implementation of integrated applications from multiple data sources, and supporting the import of structured, unstructured, and various types of data and files.

◆ High performance computing platform: Build a data simulation center according to user needs, providing one-stop delivery solutions for data center power environment, servers, storage resources, and simulation operation environment.

Business operating environment: According to user requirements, resources are automatically allocated in units of CPU cores/GPU cards, which can achieve 7 * 24-hour queuing and operation, improving hardware resource utilization.

ETL tool: ETL tools provide integrated processing capabilities for data, including data extraction, data transformation, and data processing functions. They can efficiently complete data integration, filtering, and cleaning, providing strong support for the efficient utilization of big data.

◆ Resource Management Platform: The resource management platform provides an information resource directory system that complies with national standards, standardized resource cataloging, and enables data sharing and exchange between suppliers and demanders based on directory driven methods, supporting multiple types of resource directories.

ESB Enterprise Service Bus: The ESB Enterprise Service Bus module provides access interfaces for business systems to big data center data, as well as interface management functions. The system provides functions such as service registration, orchestration, publishing, calling, management, and monitoring. This module provides a statistical anomaly function to analyze anomalies that occur during use, facilitating data providers to correct erroneous data.

Data governance: Data governance achieves effective integration of data through a unified model container. Realize data quality management through data quality assessment, problem discovery mechanisms and processes. Through data exchange and monitoring management, achieve data query and traceability. Support big data anonymization, classification and grading, data encryption, and data authorization to ensure the secure and compliant use of data.