Detailed Phase Breakdown

Phase 2: ETL Development (Weeks 5-8)

Build upon foundation setup by refining and optimizing generated code. This phase takes the generated code from Foundation Setup and makes it production-ready through performance optimization and error handling.

• Optimize generated SQL and DBT models for performance
• Implement advanced error handling and recovery mechanisms
• Add comprehensive logging and monitoring
• Implement restart from checkpoint logic
• Performance tune indexes and queries
• Create operational run books and documentation

Phase 3: Testing and Validation (Weeks 9-10)

Execute comprehensive testing using generated and optimized code.

• Unit testing of individual transformations
• Integration testing of full data flows (Source → LDZ → RDV → Unica 360)
• Data quality testing with all DQ rules
• Volume testing with production-scale data
• UAT testing with business users

Phase 4: Production Deployment (Weeks 11-12)

Deploy code and execute first production loads with comprehensive monitoring and validation.

Phase 5: Ongoing Operations (Post-Deployment)

Monitor and maintain the ETL pipelines. Handle schema extensions, optimize performance, and plan future onboarding of new subject areas leveraging the canonical framework.