The Strategic Framework for ETL Testing at Scale

This video introduces a practical, scalable framework for ETL testing at scale—covering the core testing lanes across extraction, movement, transformation, and target validation—plus the automation, observability, and governance practices that keep data pipelines reliable in production.

*Key moments*
0:05 — Introduction — Why ETL testing at scale
0:35 — Lane 1: Data Extraction & Ingestion
0:47 — Lane 2: Data Movement & Reconciliation
0:50 — Lane 3: Transformation Logic & Business Rules
1:39 — Observability & Monitoring
1:41 — Governance, Auditability & Compliance
2:15 — Best Practices & Rollout Plan
2:28 — Automation & CI/CD Integration
3:31 — Next Steps / Demo & Contact

*What you’ll learn*
Design the four testing lanes for end-to-end ETL coverage
Validate extraction/ingestion, movement & reconciliation, transformations, and targets
Bake performance & SLAs into your testing strategy
Automate testing in CI/CD with versioned, reusable test assets
Add observability (anomaly detection, schema/volume drift) for always-on guardrails
Strengthen governance, auditability, and compliance across environments

👉 Want templates and a walkthrough? Request a free demo: contact@datagaps.com
🌐 Learn More: https://www.datagaps.com/etl-validator/
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Видео The Strategic Framework for ETL Testing at Scale канала Datagaps