Data Pipeline

Key components and roles:

1. Data Sources Layer:

   • Transactional Databases

   • Token Vault

   • Audit Logs

   • Operational Metrics

   • Real-time Event Streams

2. Data Pipeline: A. Data Ingestion

   • Batch ETL for historical data

   • Stream processing for real-time data

   • Data validation and quality checks

   B. Data Warehouse

   • Transaction Mart

   • Tokenization Mart

   • Financial Mart

   • Operational Mart

   C. Data Lake

   • Raw data preservation

   • Data transformation

   • Analytics preparation

3. Analytics & Reporting: A. Internal Reporting

   • Operational BI

   • Financial Analytics

   • Risk & Compliance

   • Executive Dashboards

   B. External Reporting

   • Merchant Portal

   • Client APIs

   • Partner Dashboards

   C. Real-time Analytics

   • Monitoring Dashboards

   • Fraud Detection

   • Transaction Monitoring

4. Delivery Layer: A. Access Control

   • Role-based access

   • Data governance

   • Security controls

   B. Distribution

   • Scheduled reports

   • Automated notifications

   • Data export capabilities

   C. Presentation

   • Web portals

   • Mobile applications

   • API endpoints

Key Features:

1. Data Processing:

   • Real-time processing

   • Batch processing

   • Data enrichment

   • Data quality management

2. Security:

   • Data encryption

   • Access controls

   • Audit logging

   • Data masking

3. Customization:

   • Custom reports

   • Configurable dashboards

   • Flexible export options

   • API integration

4. Performance:

   • Caching strategies

   • Query optimization

   • Load balancing

   • Scalability