From Data Validation to Data Observability: The Next Leap in Enterprise Trust

Traditional data validation is dead.Harsh Rajgoite (10+ years in data engineering) shows why modern enterprises are replacing reactive testing with full-spectrum Data Observability built on the 5 pillars: Freshness, Volume, Schema, Lineage, and Quality.This session is your complete playbook for eliminating data downtime and building unbreakable trust at scale.What you’ll learn:🔹 Why 80%+ of data issues go undetected with traditional validation

🔹 The 5 Pillars of Observability explained with real enterprise examples

🔹 Freshness & Volume: Catch pipeline breaks before they hit dashboards

🔹 Schema & Lineage: Prevent silent data drift and trace root cause in seconds

🔹 Quality: Move from batch checks → continuous, intelligent anomaly detection

🔹 Architectural patterns: Real-time monitoring, automated alerting, self-healing pipelines

🔹 Proven ROI: Faster incident resolution, higher analytics confidence, zero surprises

🔹 Step-by-step roadmap to evolve from validation → full observability

If you’re still firefighting data issues instead of preventing them, this session will change your entire data strategy.

Ready to make data downtime a thing of the past?Request a free demo → Contact: contact@datagaps.com