https://github.com/tuanai-vireox/cdp
Designing the architecture for a Customer Data Platform (CDP)
https://github.com/tuanai-vireox/cdp
cdp dataplatform
Last synced: 9 months ago
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Designing the architecture for a Customer Data Platform (CDP)
- Host: GitHub
- URL: https://github.com/tuanai-vireox/cdp
- Owner: tuanai-vireox
- Created: 2024-12-13T07:27:24.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-08-18T02:44:18.000Z (10 months ago)
- Last Synced: 2025-08-18T04:25:37.952Z (10 months ago)
- Topics: cdp, dataplatform
- Language: TypeScript
- Homepage:
- Size: 152 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Customer Data Platform (CDP)
A comprehensive Customer Data Platform that provides unified customer data management, analytics, and activation capabilities.
## Project Structure
```
cdp/
├── api/ # Backend API services
│ ├── src/
│ │ ├── controllers/ # API route handlers
│ │ ├── services/ # Business logic
│ │ ├── models/ # Data models and schemas
│ │ ├── middleware/ # Custom middleware
│ │ ├── utils/ # Utility functions
│ │ ├── config/ # Configuration files
│ │ └── types/ # TypeScript type definitions
│ ├── tests/ # API tests
│ ├── docs/ # API documentation
│ ├── package.json
│ └── tsconfig.json
├── client/ # Frontend client application
│ ├── src/
│ │ ├── components/ # React components
│ │ ├── pages/ # Page components
│ │ ├── hooks/ # Custom React hooks
│ │ ├── services/ # API client services
│ │ ├── store/ # State management
│ │ ├── utils/ # Utility functions
│ │ ├── types/ # TypeScript types
│ │ └── styles/ # CSS/styling files
│ ├── public/ # Static assets
│ ├── tests/ # Client tests
│ ├── package.json
│ └── tsconfig.json
├── shared/ # Shared code between API and client
│ ├── types/ # Shared TypeScript types
│ ├── constants/ # Shared constants
│ └── utils/ # Shared utilities
├── infrastructure/ # Infrastructure and deployment
│ ├── docker/ # Docker configurations
│ ├── kubernetes/ # K8s manifests
│ ├── terraform/ # Infrastructure as code
│ └── scripts/ # Deployment scripts
├── docs/ # Project documentation
├── .github/ # GitHub workflows
├── package.json # Root package.json for scripts
└── README.md
```
## Architecture Overview
### 1. Data Ingestion Layer
- **Purpose:** Collect data from various sources.
- **Components:**
- **APIs and Connectors:** Facilitate data collection from CRM systems, websites, mobile apps, social media, email platforms, and other sources.
- **ETL/ELT Tools:** Extract, Transform, and Load data into the CDP. Tools like Apache NiFi, Talend, or AWS Glue can be used.
- **Streaming Data Ingestion:** Use platforms like Apache Kafka or AWS Kinesis for real-time data streaming.
### 2. Data Storage Layer
- **Purpose:** Store raw and processed data.
- **Components:**
- **Data Warehouse:** For structured data storage (e.g., Amazon Redshift, Google BigQuery, Snowflake).
- **Data Lake:** For storing raw, unstructured, or semi-structured data (e.g., Amazon S3, Azure Data Lake Storage).
- **Database Management Systems:** For transactional data (e.g., PostgreSQL, MySQL).
### 3. Data Processing and Unification Layer
- **Purpose:** Cleanse, transform, and unify data to create a single customer view.
- **Components:**
- **Data Cleansing and Transformation Tools:** Use tools like Apache Spark or Dataflow for data processing.
- **Identity Resolution Engine:** Match and merge customer records from different sources.
- **Master Data Management (MDM):** Ensure data consistency and integrity across the platform.
### 4. Data Analytics and Insights Layer
- **Purpose:** Analyze data and derive insights.
- **Components:**
- **Analytics Tools:** Use platforms like Tableau, Power BI, or Looker for data visualization and reporting.
- **Machine Learning Models:** Implement models for predictive analytics and customer segmentation using frameworks like TensorFlow or PyTorch.
- **Query Engines:** Use engines like Presto or Apache Hive for ad-hoc querying.
### 5. Data Activation and Engagement Layer
- **Purpose:** Enable personalized customer interactions.
- **Components:**
- **Marketing Automation Tools:** Integrate with platforms like Salesforce Marketing Cloud or HubSpot for campaign management.
- **CRM Integration:** Ensure seamless data flow with CRM systems for sales and customer service.
- **Real-Time Personalization Engine:** Deliver personalized content and recommendations in real-time.
### 6. Data Security and Compliance Layer
- **Purpose:** Protect data and ensure compliance with regulations.
- **Components:**
- **Access Control and Authentication:** Implement role-based access control (RBAC) and authentication mechanisms.
- **Data Encryption:** Use encryption protocols for data at rest and in transit.
- **Compliance Management:** Tools and processes to manage consent and adhere to regulations like GDPR or CCPA.
### 7. Monitoring and Management Layer
- **Purpose:** Ensure the CDP operates efficiently and effectively.
- **Components:**
- **Monitoring Tools:** Use tools like Prometheus, Grafana, or AWS CloudWatch for system health monitoring.
- **Alerting Systems:** Set up alerting mechanisms for performance issues or data breaches.
- **Logging and Auditing:** Implement logging for system activity and data access for auditing purposes.
## Getting Started
### Prerequisites
- Node.js 18+
- Docker and Docker Compose
- PostgreSQL 14+
- Redis 6+
### Installation
1. **Clone the repository**
```bash
git clone https://github.com/tuanai-vireox/cdp
cd cdp
```
2. **Install dependencies**
```bash
# Install root dependencies
npm install
# Install API dependencies
cd api && npm install
# Install client dependencies
cd ../client && npm install
```
3. **Set up environment variables**
```bash
# Copy environment files
cp api/.env.example api/.env
cp client/.env.example client/.env
```
4. **Start the development environment**
```bash
# Start all services
npm run dev
# Or start individually
npm run dev:api
npm run dev:client
```
## Development
### API Development
- **Framework:** Express.js with TypeScript
- **Database:** PostgreSQL with Prisma ORM
- **Authentication:** JWT with refresh tokens
- **Validation:** Joi or Zod
- **Testing:** Jest with Supertest
### Client Development
- **Framework:** React 18+ with TypeScript
- **State Management:** Redux Toolkit or Zustand
- **UI Library:** Material-UI or Ant Design
- **Build Tool:** Vite
- **Testing:** Vitest with React Testing Library
### Key Features
- **Customer Profile Management:** Unified customer profiles with identity resolution
- **Data Ingestion:** Real-time and batch data ingestion from multiple sources
- **Analytics Dashboard:** Interactive dashboards for customer insights
- **Segmentation Engine:** Advanced customer segmentation capabilities
- **Campaign Management:** Integrated marketing campaign tools
- **Compliance Tools:** GDPR/CCPA compliance management
- **API Gateway:** RESTful and GraphQL APIs
- **Real-time Processing:** Event-driven architecture for real-time data processing
## Deployment
### Docker Deployment
```bash
# Build and run with Docker Compose
docker-compose up -d
```
### Kubernetes Deployment
```bash
# Deploy to Kubernetes
kubectl apply -f infrastructure/kubernetes/
```
## Contributing
1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add some amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Support
For support, email support@cdp-platform.com or join our Slack channel.