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List of Essential Services for the Distributed Data Market Ecosystem
| Service Name | Description | link to page |
|---|---|---|
| User Management (with Authentication Federation & Identity Mapping) | Manages user authentication, registration, and profile management across distributed instances. Uses Azure AD B2C to provide federated login (Microsoft, Google, corporate SSO). Each user’s identity is mapped to a unique internal ID, ensuring they can be recognized across different ecosystem services without requiring a new login. | |
| Role & Rights Management | Defines and enforces access control, user roles, and permissions across instances for data usage and monetization. | |
| Consent & Privacy Management | Allows users to manage data-sharing permissions, revoke consent, and ensure compliance with GDPR, EU Data Act, and similar regulations. | |
| Data Marketplace | Enables data providers (OEMs, fleet managers) to list, sell, and manage datasets while allowing buyers to search, preview, and purchase data. | |
| API Gateway & Management | Provides a secure API layer for communication between distributed instances. Ensures authentication and standardization using Azure API Management. | |
| Data Storage & Processing | A scalable, globally distributed database for storing metadata, logs, and access control settings. Uses Azure Cosmos DB and Azure Functions for event-driven processing. | |
| Search & Discovery (Global Registry) | Provides a federated registry for discovering datasets, services, and API endpoints across distributed instances. Supports metadata tagging for easy filtering. | |
| Monetization & Billing | Handles subscription models, pay-per-use pricing, and revenue-sharing among participants. Uses Azure Payment Connector for transactions. | |
| Security & Authentication | Ensures secure access using OAuth 2.0, OpenID Connect, and multi-factor authentication (MFA). Protects against unauthorized access and fraud. | |
| Data Anonymization & Compliance | Automatically anonymizes sensitive user data before sharing, ensuring compliance with data privacy laws. Uses Azure Purview for governance. | |
| Service Orchestration | Manages workflows for data ingestion, user onboarding, and API integrations using Azure Logic Apps or Azure Event Grid. | |
| Logging & Monitoring | Provides real-time monitoring and logging of ecosystem activities, including API requests, user transactions, and data access logs. Uses Azure Monitor & Log Analytics. | |
| Incident & Violation Handling | Detects anomalies, data breaches, or regulatory violations and alerts operators. Provides remediation workflows. | |
| Regional Compliance Management | Ensures that different jurisdictions comply with data residency laws (e.g., GDPR, CCPA) by routing requests to appropriate data centers. | |
| Data Aggregation & Insights | Aggregates data from multiple sources and provides insights using Azure Synapse Analytics and Power BI for visualization. | |
| Edge Processing | Handles real-time data processing closer to the source for low-latency applications (e.g., connected vehicles, fleet monitoring). Uses Azure IoT Edge. | |
| Developer Portal | A hub for developers to access API documentation, sample datasets, and testing environments for building applications. | |
| Customer Support & Help Desk | Provides technical assistance, user guides, and ticketing support for all ecosystem participants. | |
| Distributed Node Management | Manages the lifecycle of distributed instances, allowing operators (OEMs, data collectors) to onboard, configure, and maintain their nodes. | |
| Capability Registration & Node Discovery | A global registry where distributed instances register their capabilities (e.g., data types available, APIs, supported regions). | |
| Instance Health & Load Balancing | Ensures each instance is healthy, load-balanced, and available, using Azure Front Door to route traffic efficiently across distributed nodes. | |
| Data protection rights execution service | Encapsulates all requests made by data owners to alter or read their stored information (right to be forgotten f.e.) | |
As for all µ-service based architectures it is important to cut the services in a way that on one hand the
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