Apache Airflow: The Hands-On Guide
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 4.85 GB | Duration: 13 hours

What you'll 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

Requirements
Notions of Docker and Python
Virtual Box installed (Only for local Kubernetes cluster part)
Vagrant installed
The course "The Complete Hands-On Introduction to Apache Airflow" can be a nice plus.
Description
Airflow is a platform created by community to programmatically author, schedule and monitor workflows.

It is scalable, dynamic, extensible and modulable.

Without any doubts, mastering Airflow is becoming a must-have and an attractive skill for anyone working with data.

What you will learn in the course:

Fundamentals of Airflow are explained such as what is Airflow, how the scheduler and the web server works

The Forex Data Pipeline project is incredible way to discover many operators in Airflow and deal with Slack, Spark, Hadoop and more