Skip to main content
HomeData EngineeringIntroduction to Airflow in Python

Introduction to Airflow in Python

4.3+
38 reviews
Advanced

Learn how to implement and schedule data engineering workflows.

Start Course for Free
4 Hours16 Videos55 Exercises
32,764 LearnersTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies


Course Description

Now Updated to Airflow 2.7 - Delivering data on a schedule can be a manual process. You write scripts, add complex cron tasks, and try various ways to meet an ever-changing set of requirements—and it's even trickier to manage everything when working with teammates. Airflow can remove this headache by adding scheduling, error handling, and reporting to your workflows. In this course, you'll master the basics of Airflow and learn how to implement complex data engineering pipelines in production. You'll also learn how to use Directed Acyclic Graphs (DAGs), automate data engineering workflows, and implement data engineering tasks in an easy and repeatable fashion—helping you to maintain your sanity.
  1. 1

    Intro to Airflow

    Free

    In this chapter, you’ll gain a complete introduction to the components of Apache Airflow and learn how and why you should use them.

    Play Chapter Now
    Introduction to Airflow
    50 xp
    Testing a task in Airflow
    50 xp
    Examining Airflow commands
    50 xp
    Airflow DAGs
    50 xp
    Defining a simple DAG
    100 xp
    Working with DAGs and the Airflow shell
    50 xp
    Troubleshooting DAG creation
    100 xp
    Airflow web interface
    50 xp
    Starting the Airflow webserver
    50 xp
    Navigating the Airflow UI
    50 xp
    Examining DAGs with the Airflow UI
    50 xp

In the following tracks

Data Engineer in Python

Collaborators

Collaborator's avatar
Hadrien Lacroix
Collaborator's avatar
Lis Sulmont
Mike Metzger HeadshotMike Metzger

Data Engineer Consultant @ Flexible Creations

Mike is a consultant focusing on data engineering and analysis using SQL, Python, and Apache Spark among other technologies. He has a 20+ year history of working with various technologies in the data, networking, and security space.
See More

Don’t just take our word for it

*4.3
from 38 reviews
61%
16%
21%
3%
0%
Sort by
  • CHINEDU A.
    10 months

    Properly structured. Would have loved to have XComs and Connections as part of course as well as SQL Operators

  • Jegan D.
    11 months

    Great introduction to Airflow providing challenging exercises to practice what has been learned

  • Nikolaos P.
    11 months

    It is a very well organized course to introduce you to Airflow, and demonatrate a variety of functionalities and features

  • Alejandro D.
    11 months

    Gives a general understanding of Airflow, so it's really good.

  • Roman G.
    11 months

    Excellent course! Thanks!

"Properly structured. Would have loved to have XComs and Connections as part of course as well as SQL Operators"

CHINEDU A.

"Great introduction to Airflow providing challenging exercises to practice what has been learned"

Jegan D.

"It is a very well organized course to introduce you to Airflow, and demonatrate a variety of functionalities and features"

Nikolaos P.

Join over 13 million learners and start Introduction to Airflow in Python today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.