Mastering Apache Airflow! Deploy to Kubernetes in AWS
Learn to programmatically author, schedule and monitor workflows with Apache Airflow. Deploy to Kubernetes in AWS.
4.01 (188 reviews)
881
students
5 hours
content
Feb 2020
last update
$49.99
regular price
What you will 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
Run development environment with one command through Helm and Kubernetes
The difference between Sequential, Local, Celery and Kubernetes Executors
Understand Apache Airflow's configuration properties
Investigate Apache Airflow's REST Api
Explore Apache Airflow's web interface
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2572464
udemy ID
9/22/2019
course created date
8/26/2020
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