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Apache Airflow: The Operators Guide

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

4.67 / 5.0
1731 students7 hours 17 minutes

Created by Marc Lamberti, offered on Udemy

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Student feedback

5.9/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 1731 students which left 118 reviews at an average rating of 4.67, which is average.

Course length

9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 7 hours 17 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 30 minutes.

Overall score

6.2/10

This course currently has a bestcourses score of 6.2/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

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?

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. ?

What you will 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

Requirements

  • Get used to Airflow, you ALREADY know the basics of Airflow
  • Docker and Docker compose installed
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Frequently asked questions

  • Price: $94.99
  • Platform: Udemy
  • Language: English
  • 7 hours 17 minutes
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bestcourses score: 6.2/10

There might be better courses available for this topic.