Data Engineering Fundamentals for Mining
Learn to build robust data pipelines that turn messy operational data into trusted, auditable inputs for planning and reporting.
Duration: 2 days
Format: In-person or Online
What You'll Learn
- Design ETL/ELT pipelines for common mining data sources
- Implement data validation and quality checks
- Build reconciliation workflows between systems
- Establish data lineage and documentation practices
- Create maintainable, auditable data transformations
Course Outline
Day 1: Foundations
- Mining data landscape: sources, formats, and challenges
- ETL vs ELT: choosing the right approach
- Data quality frameworks for mining
- Hands-on: Building your first pipeline
Day 2: Production Patterns
- Reconciliation and validation patterns
- Handling late-arriving and corrected data
- Documentation and lineage
- Deployment and monitoring
Who Should Attend
Data analysts, planning engineers, and technical staff responsible for operational reporting and data management.
Prerequisites
Basic SQL knowledge and familiarity with mining operational systems (dispatch, historians, labs).