{"id":30426149,"url":"https://github.com/tuanai-vireox/cdp","last_synced_at":"2025-08-22T12:24:29.125Z","repository":{"id":307615555,"uuid":"902746961","full_name":"tuanai-vireox/cdp","owner":"tuanai-vireox","description":"Designing the architecture for a Customer Data Platform (CDP) ","archived":false,"fork":false,"pushed_at":"2025-08-18T02:44:18.000Z","size":156,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-18T04:25:37.952Z","etag":null,"topics":["cdp","dataplatform"],"latest_commit_sha":null,"homepage":"","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tuanai-vireox.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-12-13T07:27:24.000Z","updated_at":"2025-08-18T02:44:22.000Z","dependencies_parsed_at":"2025-08-01T08:29:12.284Z","dependency_job_id":null,"html_url":"https://github.com/tuanai-vireox/cdp","commit_stats":null,"previous_names":["tuanai-vireox/cdp"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/tuanai-vireox/cdp","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tuanai-vireox%2Fcdp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tuanai-vireox%2Fcdp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tuanai-vireox%2Fcdp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tuanai-vireox%2Fcdp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tuanai-vireox","download_url":"https://codeload.github.com/tuanai-vireox/cdp/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tuanai-vireox%2Fcdp/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":271636050,"owners_count":24794147,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-22T02:00:08.480Z","response_time":65,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cdp","dataplatform"],"created_at":"2025-08-22T12:24:18.160Z","updated_at":"2025-08-22T12:24:29.114Z","avatar_url":"https://github.com/tuanai-vireox.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Customer Data Platform (CDP)\n\nA comprehensive Customer Data Platform that provides unified customer data management, analytics, and activation capabilities.\n\n## Project Structure\n\n```\ncdp/\n├── api/                          # Backend API services\n│   ├── src/\n│   │   ├── controllers/          # API route handlers\n│   │   ├── services/             # Business logic\n│   │   ├── models/               # Data models and schemas\n│   │   ├── middleware/           # Custom middleware\n│   │   ├── utils/                # Utility functions\n│   │   ├── config/               # Configuration files\n│   │   └── types/                # TypeScript type definitions\n│   ├── tests/                    # API tests\n│   ├── docs/                     # API documentation\n│   ├── package.json\n│   └── tsconfig.json\n├── client/                       # Frontend client application\n│   ├── src/\n│   │   ├── components/           # React components\n│   │   ├── pages/                # Page components\n│   │   ├── hooks/                # Custom React hooks\n│   │   ├── services/             # API client services\n│   │   ├── store/                # State management\n│   │   ├── utils/                # Utility functions\n│   │   ├── types/                # TypeScript types\n│   │   └── styles/               # CSS/styling files\n│   ├── public/                   # Static assets\n│   ├── tests/                    # Client tests\n│   ├── package.json\n│   └── tsconfig.json\n├── shared/                       # Shared code between API and client\n│   ├── types/                    # Shared TypeScript types\n│   ├── constants/                # Shared constants\n│   └── utils/                    # Shared utilities\n├── infrastructure/               # Infrastructure and deployment\n│   ├── docker/                   # Docker configurations\n│   ├── kubernetes/               # K8s manifests\n│   ├── terraform/                # Infrastructure as code\n│   └── scripts/                  # Deployment scripts\n├── docs/                         # Project documentation\n├── .github/                      # GitHub workflows\n├── package.json                  # Root package.json for scripts\n└── README.md\n```\n\n## Architecture Overview\n\n### 1. Data Ingestion Layer\n- **Purpose:** Collect data from various sources.\n- **Components:**\n  - **APIs and Connectors:** Facilitate data collection from CRM systems, websites, mobile apps, social media, email platforms, and other sources.\n  - **ETL/ELT Tools:** Extract, Transform, and Load data into the CDP. Tools like Apache NiFi, Talend, or AWS Glue can be used.\n  - **Streaming Data Ingestion:** Use platforms like Apache Kafka or AWS Kinesis for real-time data streaming.\n\n### 2. Data Storage Layer\n- **Purpose:** Store raw and processed data.\n- **Components:**\n  - **Data Warehouse:** For structured data storage (e.g., Amazon Redshift, Google BigQuery, Snowflake).\n  - **Data Lake:** For storing raw, unstructured, or semi-structured data (e.g., Amazon S3, Azure Data Lake Storage).\n  - **Database Management Systems:** For transactional data (e.g., PostgreSQL, MySQL).\n\n### 3. Data Processing and Unification Layer\n- **Purpose:** Cleanse, transform, and unify data to create a single customer view.\n- **Components:**\n  - **Data Cleansing and Transformation Tools:** Use tools like Apache Spark or Dataflow for data processing.\n  - **Identity Resolution Engine:** Match and merge customer records from different sources.\n  - **Master Data Management (MDM):** Ensure data consistency and integrity across the platform.\n\n### 4. Data Analytics and Insights Layer\n- **Purpose:** Analyze data and derive insights.\n- **Components:**\n  - **Analytics Tools:** Use platforms like Tableau, Power BI, or Looker for data visualization and reporting.\n  - **Machine Learning Models:** Implement models for predictive analytics and customer segmentation using frameworks like TensorFlow or PyTorch.\n  - **Query Engines:** Use engines like Presto or Apache Hive for ad-hoc querying.\n\n### 5. Data Activation and Engagement Layer\n- **Purpose:** Enable personalized customer interactions.\n- **Components:**\n  - **Marketing Automation Tools:** Integrate with platforms like Salesforce Marketing Cloud or HubSpot for campaign management.\n  - **CRM Integration:** Ensure seamless data flow with CRM systems for sales and customer service.\n  - **Real-Time Personalization Engine:** Deliver personalized content and recommendations in real-time.\n\n### 6. Data Security and Compliance Layer\n- **Purpose:** Protect data and ensure compliance with regulations.\n- **Components:**\n  - **Access Control and Authentication:** Implement role-based access control (RBAC) and authentication mechanisms.\n  - **Data Encryption:** Use encryption protocols for data at rest and in transit.\n  - **Compliance Management:** Tools and processes to manage consent and adhere to regulations like GDPR or CCPA.\n\n### 7. Monitoring and Management Layer\n- **Purpose:** Ensure the CDP operates efficiently and effectively.\n- **Components:**\n  - **Monitoring Tools:** Use tools like Prometheus, Grafana, or AWS CloudWatch for system health monitoring.\n  - **Alerting Systems:** Set up alerting mechanisms for performance issues or data breaches.\n  - **Logging and Auditing:** Implement logging for system activity and data access for auditing purposes.\n\n## Getting Started\n\n### Prerequisites\n- Node.js 18+ \n- Docker and Docker Compose\n- PostgreSQL 14+\n- Redis 6+\n\n### Installation\n\n1. **Clone the repository**\n   ```bash\n   git clone https://github.com/tuanai-vireox/cdp\n   cd cdp\n   ```\n\n2. **Install dependencies**\n   ```bash\n   # Install root dependencies\n   npm install\n   \n   # Install API dependencies\n   cd api \u0026\u0026 npm install\n   \n   # Install client dependencies\n   cd ../client \u0026\u0026 npm install\n   ```\n\n3. **Set up environment variables**\n   ```bash\n   # Copy environment files\n   cp api/.env.example api/.env\n   cp client/.env.example client/.env\n   ```\n\n4. **Start the development environment**\n   ```bash\n   # Start all services\n   npm run dev\n   \n   # Or start individually\n   npm run dev:api\n   npm run dev:client\n   ```\n\n## Development\n\n### API Development\n- **Framework:** Express.js with TypeScript\n- **Database:** PostgreSQL with Prisma ORM\n- **Authentication:** JWT with refresh tokens\n- **Validation:** Joi or Zod\n- **Testing:** Jest with Supertest\n\n### Client Development\n- **Framework:** React 18+ with TypeScript\n- **State Management:** Redux Toolkit or Zustand\n- **UI Library:** Material-UI or Ant Design\n- **Build Tool:** Vite\n- **Testing:** Vitest with React Testing Library\n\n### Key Features\n- **Customer Profile Management:** Unified customer profiles with identity resolution\n- **Data Ingestion:** Real-time and batch data ingestion from multiple sources\n- **Analytics Dashboard:** Interactive dashboards for customer insights\n- **Segmentation Engine:** Advanced customer segmentation capabilities\n- **Campaign Management:** Integrated marketing campaign tools\n- **Compliance Tools:** GDPR/CCPA compliance management\n- **API Gateway:** RESTful and GraphQL APIs\n- **Real-time Processing:** Event-driven architecture for real-time data processing\n\n## Deployment\n\n### Docker Deployment\n```bash\n# Build and run with Docker Compose\ndocker-compose up -d\n```\n\n### Kubernetes Deployment\n```bash\n# Deploy to Kubernetes\nkubectl apply -f infrastructure/kubernetes/\n```\n\n## Contributing\n\n1. Fork the repository\n2. Create a feature branch (`git checkout -b feature/amazing-feature`)\n3. Commit your changes (`git commit -m 'Add some amazing feature'`)\n4. Push to the branch (`git push origin feature/amazing-feature`)\n5. Open a Pull Request\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Support\n\nFor support, email support@cdp-platform.com or join our Slack channel.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftuanai-vireox%2Fcdp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftuanai-vireox%2Fcdp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftuanai-vireox%2Fcdp/lists"}