Table of Contents
- Data Management – Introduction and Concepts
- Introduction to Important AWS Glue Features
- Data Ingestion
- Data Preparation
- Designing Data Layouts
- Data Management
- Metadata Management
- Data Security
- Data Sharing
- Data Pipeline Management
- Monitoring
- Tuning, Debugging, and Troubleshooting
- Data Analysis
- Machine Learning Integration
- Architecting Data Lakes for Real-World Scenarios and Edge Cases
