Book Content
chapters • 14h28m total length
1. Data Management – Introduction and Concepts
2. Introduction to Important AWS Glue Features
3. Data Ingestion
4. Data Preparation
5. Designing Data Layouts
6. Data Management
7. Metadata Management
8. Data Security
9. Data Sharing
10. Data Pipeline Management
11. Monitoring
12. Tuning, Debugging, and Troubleshooting
13. Data Analysis
14. Machine Learning Integration
15. Architecting Data Lakes for Real-World Scenarios and Edge Cases
