Apache Airflow: The Hands-On Guide

Master Apache Airflow from A to Z. Hands-on videos on Airflow with AWS, Kubernetes, Docker and more

4.55 (4954 reviews)

Udemy

platform

English

language

Software Engineering

What you will learn

Coding Production Grade Data pipelines by Mastering Airflow through Hands-on Examples

How to Follow Best Practices with Apache Airflow

How to Scale Airflow with the Local, Celery and Kubernetes Wxecutors

How to Set Up Monitoring with Elasticsearch and Grafana

How to Secure Airflow with authentication, crypto and the RBAC UI

Core and Advanced Concepts with Pros and Limitations

Mastering DAGs with timezones, unit testing, backfill and catchup

Organising the DAG folder and keep things clean

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Comidoc Review

Our Verdict

This course shines in diving deep into Apache Airflow through hands-on examples but has areas to improve while adapting to newer versions. The strong focus on Docker enables a smooth environment setup for testing, yet this reliance can complicate replication and upgrade processes. While advanced concepts are demonstrated effectively, the abrupt introduction of full real-life pipelines assumes familiarity with disparate technologies that may confuse beginners venturing into Airflow.

What We Liked

Excellent coverage of Apache Airflow fundamentals via hands-on examples.
Instructor emphasizes best practices, scalability, monitoring, and security.
Dedicated Docker images facilitate environment setup for testing.

Potential Drawbacks

Strong reliance on Docker may cause issues with adapting to newer Airflow versions.
Lacks comprehensive configuration documentation leading to challenges during replication.
Advanced concepts and full real-life pipelines introduced abruptly, assuming prior knowledge of irrelevant technologies like Hadoop and Spark.