Apache Airflow: The Operators Guide

Apache Airflow has more than 700 Operators and 70 tools it can interact with.

It's huge! ?

Operators are tasks in your data pipeline. They are important as they correspond to the actions of your data pipeline, to the different steps to produce the output you want.

Now,

Do you know well the Airflow's operators?

Do you want to create reliable data pipelines? 

Are you looking for best practices around Operators?

If yes, you've come to the right place!

With the course Apache Airflow: The Operators Guide,  will be able to

• Version your DAGs

• Retry your tasks properly

• Create dependencies between your tasks and even your DAG Runs

• Demystifies the owner parameter

• Take actions if a task fails

• Choose the right way to create DAG dependencies

• Execute a task only in a specific interval of time

• Group your tasks to make your DAG cleaner (not with SubDAG)

• Trigger your DAG based on a Calendar

and much more!

Warning! You must already know Airflow! Think of this course as your Airflow Operators Reference.

The operator you are looking for is there?

NOT YET!

Vote for it, and I will make video in the month. You decide!

So,

If you already know Airflow and you're ready to step up! Enroll now and truly take your data pipelines to another level. ?