🔗 Xlytix Integration Patterns

📦
Batch ETL Pattern
Scheduled full or incremental data loads
Data Flow
Source DB
→
Extract
→
Transform
→
Load
→
Warehouse
Use Cases
  • Daily data warehouse loads
  • Historical data migration
  • Periodic reporting
  • Backup and archival
Configuration
  • Schedule: Daily at 2 AM
  • Mode: Full refresh
  • Batch size: 10,000 records
  • Parallelism: 4 threads
🔄
Incremental CDC Pattern
Real-time change data capture
Data Flow
Source DB
→
CDC
→
Stream
→
Transform
→
Target
Use Cases
  • Real-time analytics
  • Operational reporting
  • Event-driven processing
  • Data synchronization
Configuration
  • Schedule: Every 5 minutes
  • Mode: Incremental
  • Timestamp: updated_at
  • Checkpoint: Automatic
🌐
API Polling Pattern
Periodic API data synchronization
Data Flow
REST API
→
Poll
→
Parse
→
Transform
→
Load
Use Cases
  • SaaS data integration
  • Third-party APIs
  • Social media feeds
  • Weather/market data
Configuration
  • Schedule: Every 15 minutes
  • Mode: Incremental
  • Pagination: Automatic
  • Rate limit: Respected
⚡
Event-Driven Pattern
Webhook and trigger-based sync
Data Flow
Event
→
Webhook
→
Process
→
Transform
→
Load
Use Cases
  • Real-time notifications
  • Order processing
  • User activity tracking
  • IoT sensor data
Configuration
  • Trigger: Webhook
  • Mode: Upsert
  • Dedup key: id
  • Latency: < 1 second
💻 Code Examples
Batch ETL Configuration
# Daily batch load configuration config = { "schedule": "0 2 * * *", # 2 AM daily "source": "postgresql_db", "target": "snowflake", "mode": "full_refresh", "batch_size": 10000, "tables": [ "users", "orders", "products" ] }
Incremental CDC Configuration
# Real-time CDC configuration config = { "schedule": "*/5 * * * *", # Every 5 min "source": "mysql_db", "target": "s3_datalake", "mode": "incremental", "timestamp_column": "updated_at", "checkpoint": "automatic" }
API Polling Configuration
# API polling configuration config = { "schedule": "*/15 * * * *", # Every 15 min "source": "rest_api", "endpoint": "https://api.example.com", "target": "bigquery", "mode": "incremental", "checkpoint_field": "last_modified" }
Event-Driven Configuration
# Webhook-triggered configuration config = { "trigger": "webhook", "source": "salesforce", "target": "redshift", "mode": "upsert", "deduplication_key": "id", "real_time": True }