Mastering Apache Airflow Deploy to Kubernetes in AWS

Rating 3.95 out of 5 (175 ratings in Udemy)
What you'll learn
- Advanced tips for production
- Create your first pipeline
- Create ETL pipeline using Pandas
- Build Docker image for Apache Airflow
- Create helm chart for Apache Airflow
- Deploy Airflow to Kubernetes in AWS
- Basic Airflow components - DAG, Plugin, Operator, Sensor, Hook, Xcom, Variable and Connection
- Advance in branching, metrics, performance and log monitoring
- Run development environment with one command through Docker Compose …
Duration 4 Hours 58 Minutes
Paid
Self paced
All Levels
English (US)
768
Rating 3.95 out of 5 (175 ratings in Udemy)
Go to the Course
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Paid
Self paced
All Levels
English (US)
768
Rating 3.95 out of 5 (175 ratings in Udemy)
Go to the Course