Building Scalable Data Pipelines for AI

Data Pipelines for AI Workloads

AI systems require repeatable and observable data flow from source to feature layer.

Core Layers

• Ingestion
• Validation
• Transformation
• Serving

SELECT user_id, COUNT(*) AS events
FROM events
WHERE event_at >= CURRENT_DATE - INTERVAL '7 days'
GROUP BY user_id;

Reliability Patterns

Idempotency, backfill support, and schema evolution management are essential for long-term stability.