Table of Contents

1. Understanding Data Engineering
2. Data Ingestion and Acquisition
3. Data Storage and Management
4. Data Transformation and Processing
5. Data Orchestration and Workflows
6. Data Governance Principles
7. Scaling Data Solutions
8. Monitoring and Performance
9. Real-world Data Engineering Use Cases
10. Future Trends in Data Engineering