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Data Flow Architecture

Overview​

Data Flow Patterns​

1. User Authentication Flow​

2. Machinery Booking Flow​

3. Payment Processing Flow​

Data States​

1. User Data States​

  • Authentication State

    • Logged Out
    • Logged In
    • Session Expired
    • Token Refresh

  • Profile State

    • Complete
    • Incomplete
    • Verified
    • Suspended

2. Booking Data States​

  • Inquiry
  • Pending
  • Confirmed
  • In Progress
  • Completed
  • Cancelled
  • Disputed

3. Payment Data States​

  • Initiated
  • Processing
  • Completed
  • Failed
  • Refunded
  • Disputed

Data Synchronization​

Mobile Apps Sync​

  1. Initial Load

    • Essential data download
    • User preferences sync
    • Offline data preparation

  2. Regular Sync

    • Periodic background sync
    • Push notification triggers
    • Manual refresh

  3. Conflict Resolution

    • Last-write-wins strategy
    • Merge resolution
    • Conflict logging

Cache Management​

  1. Cache Layers

    • Browser cache
    • Application cache
    • Database cache
    • CDN cache

  2. Cache Invalidation

    • Time-based expiry
    • Event-based invalidation
    • Manual purge
    • Selective refresh

Data Security​

1. Data in Transit​

  • TLS encryption
  • Secure API endpoints
  • Token validation
  • Request signing

2. Data at Rest​

  • Database encryption
  • File encryption
  • Secure backup storage
  • Key management

3. Access Control​

  • Role-based access
  • Permission management
  • API authentication
  • Data masking

Error Handling​

1. API Errors​

  • Input validation
  • Authentication errors
  • Authorization errors
  • Business logic errors

2. Data Validation​

  • Schema validation
  • Business rule validation
  • Cross-field validation
  • Format validation

3. Error Recovery​

  • Retry mechanisms
  • Fallback options
  • Error logging
  • User notification

Performance Optimization​

1. Query Optimization​

  • Indexed queries
  • Query caching
  • Batch processing
  • Lazy loading

2. Data Loading​

  • Pagination
  • Infinite scroll
  • Data prefetching
  • Progressive loading

3. Caching Strategy​

  • Response caching
  • Query result caching
  • Fragment caching
  • Edge caching

Monitoring Points​

1. Performance Monitoring​

  • API response time
  • Database queries
  • Cache hit ratio
  • Resource utilization

2. Error Monitoring​

  • Error rates
  • Failed requests
  • System exceptions
  • Business errors

3. Data Quality​

  • Data integrity
  • Sync status
  • Validation failures
  • Data completeness

Data Migration​

1. Schema Updates​

  • Version control
  • Migration scripts
  • Rollback procedures
  • Data verification

2. Data Import/Export​

  • Bulk operations
  • Data transformation
  • Validation rules
  • Error handling

3. Legacy Data​

  • Data mapping
  • Cleanup procedures
  • Archive strategy
  • Access patterns