The Complete Hands-On Introduction to Apache Airflow
Learn to author, schedule and monitor data pipelines through practical examples using Apache Airflow
4.50 (12051 reviews)

73 775
students
4 hours
content
Oct 2024
last update
$79.99
regular price
What you will learn
Create plugins to add functionalities to Apache Airflow.
Using Docker with Airflow and different executors
Master core functionalities such as DAGs, Operators, Tasks, Workflows, etc
Understand and apply advanced concepts of Apache Airflow such as XCOMs, Branching and SubDAGs.
The difference between Sequential, Local and Celery Executors, how do they work and how can you use them.
Use Apache Airflow in a Big Data ecosystem with Hive, PostgreSQL, Elasticsearch etc.
Install and configure Apache Airflow
Think, answer and implement solutions using Airflow to real data processing problems
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Our Verdict
The Complete Hands-On Introduction to Apache Airflow course offers a solid introduction to the core functionalities of this powerful tool, with the instructor's expertise shining through. While subtitles may occasionally hinder comprehension and some materials could be more up-to-date or better structured, the practical examples and hands-on coding exercises serve to reinforce learning and make this course a valuable starting point for students willing to pursue further independent practice.
What We Liked
- Comprehensive introduction to Apache Airflow covering core functionalities
- Hands-on coding exercises and keyboard practice provided
- Instructor exhibits expertise in the subject matter
- Practical examples showcasing application in a Big Data ecosystem
Potential Drawbacks
- Subtitles may have errors affecting comprehension
- Occasional use of outdated materials and deprecated features
- Lecture structure could be more organized, sometimes topics seem randomly chosen
- Minimal hands-on exercises for independent practice
Related Topics
1919064
udemy ID
18/09/2018
course created date
11/12/2019
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