Migrating Data Ingestion Systems at Meta Scale

Meta successfully migrated its large-scale data ingestion system that powers analytics and data products across the company.

• •The migration moved from legacy customer-owned pipelines to a self-managed data warehouse service handling petabytes of social graph data
• •Three-phase migration lifecycle (Shadow Phase, Reverse Shadow Phase, Cleanup) with data quality verification at each stage
• •Built custom data quality analysis tools comparing row counts and checksums between old and new systems in real-time via Scuba
• •Implemented rollout/rollback strategies using CDC (change data capture) with metadata tagging to prevent bad data propagation
• •Automated tooling managed tens of thousands of ingestion jobs during the large-scale migration