- A Measure of Good Design
- Agile and Lean practices
- Avoiding Architectural Debt
- Communicating between the technical and non-technical.
- Data & Analytics Stakeholder Domains
- Data engineering and manipulation
- Data innovation
- Data modelling
- Data regulation and ethics
- Hierarchical Structures and Constant Regeneration
- How Unarticulated Needs Direct the Evolutionary Path of Agile Designs
- Principles of Data Wrangling
- Problem resolution
- Project management
- Technical understanding
- The Data Warehouse Lifecycle Toolkit
- The Phoenix Project
- Turning business problems into data design
- Understanding product delivery
- Data Engineer (Grade 3)
- DE301: Data Pipeline Development & ETL/ELT Engineering
- DE302: Database & Data Warehouse Design
- DE303: Real-Time & API-Based Data Integration
- DE304: Cloud & DevOps Practices in Data Engineering
- DE305: Performance Optimisation & Cost Efficiency
- DE306: Data Governance, Security & Compliance
- DE307: Collaboration with Data Analysts & Data Scientists
- DE308: Agile & Continuous Improvement
- Technical understanding
- The Phoenix Project
- CDM Value Presence Reconciliation Framework
- Data analysis and synthesis
- Data development process
- Data integration design
- Data management
- Data modelling
- Programming and build
- Row Presence Verification (RPV)
- The Data Warehouse Lifecycle Toolkit
- Use Case: API vs CSV
- Value Presence Verification (RPV) + Last-Seen Tracking Framework
