"The structure, the practice exams, the instructor — all top tier. Passed first try."
Course Outline
What the programme covers, module by module.
Module 1: Introduction to Data Warehousing
- Data Warehouse Fundamentals
- OLTP vs OLAP
- Data Warehouse Architecture
- Business Intelligence Overview
- Industry Applications
Module 2: Data Warehouse Design
- Enterprise Data Models
- Data Warehouse Layers
- Data Marts
- Metadata Management
- Warehouse Architecture Best Practices
Module 3: Dimensional Modeling
- Facts and Dimensions
- Star Schema
- Snowflake Schema
- Slowly Changing Dimensions
- Dimensional Design Principles
Module 4: SQL for Data Warehousing
- Advanced SQL Queries
- Joins
- Window Functions
- Aggregations
- Query Optimization
Module 5: ETL Fundamentals
- ETL Concepts
- Data Extraction
- Data Transformation
- Data Loading
- ETL Workflow Design
Module 6: Data Integration
- Source Systems
- Data Mapping
- Data Consolidation
- Data Synchronization
- Integration Strategies
Module 7: Data Transformation
- Cleansing Techniques
- Standardization
- Data Validation
- Business Rules
- Transformation Logic
Module 8: Data Quality Management
- Data Profiling
- Data Accuracy
- Data Consistency
- Duplicate Detection
- Data Quality Monitoring
Module 9: ETL Development
- Pipeline Development
- Incremental Loading
- Full Data Loads
- Error Handling
- Logging Techniques
Module 10: Data Warehouse Loading Strategies
- Initial Load
- Incremental Load
- Batch Processing
- Change Data Capture Concepts
- Load Optimization
Module 11: Workflow Orchestration
- Job Scheduling
- Workflow Dependencies
- Pipeline Automation
- Monitoring Jobs
- Recovery Strategies
Module 12: Cloud Data Warehousing
- Cloud Data Warehouses
- Cloud Storage
- Cloud Data Pipelines
- Managed Data Services
- Deployment Concepts
Module 13: Performance Optimization
- Query Tuning
- Indexing
- Partitioning
- Resource Optimization
- Performance Monitoring
Module 14: Data Governance
- Data Governance Framework
- Metadata Management
- Data Lineage
- Compliance Awareness
- Governance Best Practices
Module 15: Data Security
- Authentication
- Authorization
- Data Encryption
- Access Control
- Secure Data Management
Module 16: Reporting and Analytics
- Business Intelligence Concepts
- Reporting Solutions
- Dashboards
- KPI Reporting
- Decision Support
Module 17: Monitoring and Troubleshooting
- ETL Monitoring
- Warehouse Monitoring
- Error Diagnosis
- Log Analysis
- Troubleshooting Techniques
Module 18: Integration with Big Data Platforms
- Hadoop Integration
- Apache Spark Integration
- Cloud Integration
- Data Lake Integration
- Enterprise Data Pipelines
Module 19: Testing ETL Solutions
- Unit Testing
- Integration Testing
- Data Validation
- Reconciliation
- Performance Testing
Module 20: DevOps for Data Engineering
- Version Control
- CI/CD Concepts
- Deployment Automation
- Configuration Management
- Release Best Practices
Module 21: Enterprise Best Practices
- Scalable Architecture
- Documentation
- Code Standards
- Operational Excellence
- Production Readiness
Module 22: Data Warehouse & ETL Project
- End-to-End ETL Pipeline Development
- Data Warehouse Design
- Data Transformation
- Performance Optimization
- Final Project Presentation
Who it's for & what's included
Pick a delivery method to see exactly who it suits and everything you receive.
Classroom
Best for learners who want face-to-face tuition and to network with peers in person.
Everything you get
- ✓ Live instructor on-site
- ✓ Printed workbook & materials
- ✓ Group exercises & case studies
Online Instructor-Led
Best for learners who want a live instructor and a fixed schedule, without the travel.
Everything you get
- ✓ Live instructor via video call
- ✓ Digital workbook & resources
- ✓ Session recordings
Self-Paced
Best for self-motivated learners who need maximum flexibility around work and life.
Everything you get
- ✓ On-demand video lessons
- ✓ Interactive quizzes
- ✓ 24/7 access on any device