Apache Airflow: The Operators Guide (updated 7/2021)

Step up with Apache Airflow! Master Airflow Operators and create incredible data pipelines!

What you'll learn
Master Apache Airflow Operators
How to version your DAGs
How to create DAG dependencies efficiently
How to trigger your DAGs on specific days
Create Incredible Data Pipelines by truly understanding Airflow operators

Description
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?

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

Who this course is for:
Data engineers
Data scientist
Business Analysts
Software Engineers