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Introduction to Airflow in Python

4.2+
42 reviews
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Learn how to implement and schedule data engineering workflows.

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4 Hours16 Videos55 Exercises
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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.
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In the following Tracks

Certification Available

Data Engineer in Python

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  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.

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    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
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Certification Available

Data Engineer in Python

Go To Track

Collaborators

Collaborator's avatar
Hadrien Lacroix
Collaborator's avatar
Lis Sulmont

Prerequisites

Intermediate PythonIntroduction to Shell
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.
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Don’t just take our word for it

*4.2
from 42 reviews
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  • mark r.
    8 months

    it is a good class for airflow's start

  • CHINEDU A.
    about 1 year

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

  • Jegan D.
    about 1 year

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

  • Nikolaos P.
    about 1 year

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

  • Alejandro D.
    about 1 year

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

"it is a good class for airflow's start"

mark r.

"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.

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