1. Fundamentals of Data Engineering
2. Mastering Delta Tables in Databricks
3. Data Ingestion and Extraction
4. Data Transformation and ETL Processes
5. Data Quality and Validation
6. Data Modeling and Storage
7. Data Orchestration and Workflow Management
8. Performance Tuning and Optimization
9. Scalability and Deployment Considerations
10. Data Security and Governance
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