Master Apache Airflow: Build Expert ETL Pipelines (2024)
Focused View
17:09
1 -Course Overview.mp4
01:20
2 -ETL Pipelines in Airflow.mp4
04:01
3 -Running Airflow with Docker Compose.mp4
02:42
4 -Microservices API.mp4
01:12
5 -DAG Definition.mp4
05:09
6 -Monitor and Backfill.mp4
01:22
7 -Retries.mp4
00:48
8 -Conclusion.mp4
00:35
More details
Course Overview
This comprehensive course teaches you to build, monitor, and optimize ETL pipelines using Apache Airflow. Gain hands-on experience with Docker, DAGs, and microservices while mastering professional workflow management techniques.
What You'll Learn
- Design and implement ETL pipelines with Python
- Run and monitor workflows using Airflow
- Debug and optimize pipelines with retries and backfills
Who This Is For
- Data engineers building ETL pipelines
- Python developers expanding into workflow automation
- DevOps professionals managing data workflows
Key Benefits
- Master industry-standard workflow management
- Learn Docker integration for Airflow deployment
- Acquire troubleshooting skills for production pipelines
Curriculum Highlights
- ETL Pipelines in Airflow
- Running Airflow with Docker Compose
- DAG Definition and Monitoring
Focused display
Category
- language english
- Training sessions 8
- duration 17:09
- level average
- Release Date 2025/06/08
