Implementation Readiness & Deployment Assurance Checklist
The implementation checklist serves as a rigorous readiness framework designed to ensure that the canonical data model, associated metadata structures, and automated code-generation pipelines are deployed consistently and accurately across client environments. It provides a structured, end-to-end view of all prerequisites—spanning source-system understanding, metadata preparation, data quality governance, lineage instrumentation, and automation configuration—required before initiating full-scale ETL development. Given that the solution operates on an insert-only, metadata-driven architecture using a supported tech stack, this checklist acts as the formal validation mechanism that all upstream dependencies are understood, documented, and operational before code execution begins.
- ☐ Source system documentation collected and analyzed
- ☐ All source entities and attributes identified
- ☐ Interface Mapping Document created and reviewed
- ☐ Data quality rules defined and documented
- ☐ PII attributes identified and classified
- ☐ Business sign-off obtained on mappings
- ☐ Metadata tables created (all 10+ tables)
- ☐ All metadata tables populated with complete data
- ☐ Metadata completeness validated (no referential integrity errors)
- ☐ Code generator configured and tested
- ☐ LDZ ingestion code generated
- ☐ RDV transformation code generated
- ☐ Data quality validation code generated
- ☐ Lineage capture code generated
- ☐ Job orchestration generated
- ☐ Generated code reviewed for correctness
- ☐ Sample data transformation tested
- ☐ Data quality validations verified
- ☐ Lineage capture verified
- ☐ All documentation completed and version controlled
- ☐ Team trained on generated code and processes
- ☐ Ready to proceed to Phase 2 (ETL Development)