Table of Contents

1. Introduction to Data Engineering in AI
2. Managing Data Collection
3. Data Ingestion in Action
4. Data Storage in Real-time
5. Data Processing Techniques and Best Practices
6. Data Integration and Interoperability
7. Ensuring Data Quality
8. Understanding Data Analytics
9. Data Visualization and Reporting
10. Operational Data Security
11. Protecting Data Privacy
12. Data Engineering Case Studies