ETL Best Practices
Pipeline Design
- Single responsibility — Each pipeline should have a clear, focused purpose
- Idempotency — Design pipelines to be safely re-runnable
- Incremental by default — Use incremental loading whenever possible
- Schema validation — Validate data quality at each step
Error Handling
- Dead letter queues — Capture failed records for investigation
- Alerting — Set up alerts for failures and anomalies
- Retry with backoff — Use exponential backoff for transient failures
Performance
- Partitioning — Partition large tables by date or high-cardinality keys
- Compression — Use Parquet or Avro for intermediate storage
- Resource right-sizing — Match compute resources to workload
Security
- Secrets management — Never hardcode credentials; use vault integration
- Least privilege — Grant minimal required permissions
- Audit logging — Enable for compliance and debugging
See Also
- Performance Tuning — Optimization guide
- IAM & Access Control — Security configuration