In the digital economy, data is becoming a strategic asset, with value comparable to capital, human resources, and technology. However, in many organizations, enterprises, and state management agencies, data still exists in a fragmented way, scattered across different systems, and has not been standardized, shared, or effectively exploited.

The Data Center Infrastructure (Data Exchange) solution is built to form a centralized data infrastructure platform, creating an environment for the safe storage, management, integration, sharing, and exploitation of data, while developing a data trading ecosystem that serves state management, production and business activities, research and development, and innovation.

The solution plays the role of "core digital infrastructure," creating a foundation for Digital Government, Digital Economy, Digital Society, and application models of Artificial Intelligence (AI), Big Data, IoT, and in-depth data analytics.

Objectives

• Form a large-scale centralized data center.
• Standardize and synchronize data from multiple different sources.
• Build an interoperable data integration and sharing platform.
• Develop a Data Exchange to serve data exploitation and commercialization.
• Create an environment connecting state agencies, enterprises, and research organizations.
• Support the development of data-driven business models.
• Build a platform serving AI, Machine Learning, and predictive analytics.

Solution Components

• Data Center Infrastructure

- High-performance server systems.
- Centralized data storage system.
- High-speed network infrastructure.
- Operations and monitoring center.
- Data backup and recovery system.
- Power, air conditioning, and physical safety systems.
- On-Premise, Cloud, or Hybrid Cloud deployment models.

• Centralized Data Repository Platform (Data Lake & Data Warehouse)

- Collect data from multiple sources.
- Standardize and cleanse data.
- Build a shared data warehouse.
- Manage structured and unstructured data.
- Support large-scale data analytics.
- Integrate real-time data.

• Data Integration and Sharing Platform

- API Gateway system.
- Enterprise Service Bus (ESB).
- Data Exchange Platform.
- Data interoperability system.
- Multi-dimensional data synchronization.
- Data flow management and monitoring.

• Data Exchange

- Registration and publication of data assets.
- Digital data catalog.
- Data sharing between organizations.
- Lawful trading and exploitation of data.
- Data copyright management.
- Electronic data contract management.
- Data access and exploitation rights management.

• Intelligent Data Operations Center

- Centralized operations dashboard.
- Real-time data status monitoring.
- Multi-dimensional data analysis.
- Trend forecasting and decision support.
- AI-based anomaly alerts.
- Data quality management.

Applied Technologies

The solution is developed on the foundation of modern technologies:

- Cloud Computing.
- Hybrid Cloud Infrastructure.
- Big Data Platform.
- Data Lake.
- Data Warehouse.
- Data Fabric.
- Data Mesh.
- Artificial Intelligence (AI).
- Machine Learning.
- Deep Learning.
- Business Intelligence (BI).
- Data Analytics.
- IoT Platform.
- Blockchain for data transaction authentication.
- Open API Platform.
- Microservices Architecture.
- Container & Kubernetes.
- Data Governance Framework.

• Centralized Data Governance

- Data lifecycle management.
- Data catalog management.
- Data quality control.
- Data lineage tracking.
- Data auditing.

• Data Sharing and Interoperability

- Multi-platform connectivity.
- Permission-based data sharing.
- Integration of internal and external systems.
- Real-time data synchronization.

• Data Exploitation and Commercialization

- Providing data as a service (DaaS).
- Data trading on a digital platform.
- Data subscription model.
- Data revenue-sharing model.
- Data copyright and asset management.

• Artificial Intelligence Support

- Providing AI training data.
- Building predictive models.
- User behavior analysis.
- Intelligent decision support.
- Real-time big data analysis.

Target Customers

• Local governments.
• Smart city operations centers.
• Industrial parks and high-tech parks.
• Corporations and general companies.
• Banks and financial institutions.
• Telecommunications and information technology.
• Education and scientific research.
• Healthcare.
• Logistics and supply chain.
• Organizations that own large data sources.

In the next phase, the Data Center Infrastructure (Data Exchange) solution will be developed into a Data Economy Platform model, where data is governed as a digital asset that can be measured, valued, shared, and traded in a transparent, secure, and law-compliant manner. The platform will become a data connectivity hub for Digital Government, Digital Enterprises, and Digital Citizens, contributing to the formation of a data economy and a future artificial intelligence ecosystem.