Apache Airflow | A Real-Time & Hands-On Course on Airflow
Learn A to Z of Apache Airflow from Basic to ADVANCE level, deploy workflows & data pipelines using Airflow with Docker
4.48 (2530 reviews)
15 996
students
6 hours
content
May 2025
last update
$74.99
regular price
What you will learn
Learn Full In & out of Apache Airflow with proper HANDS-ON examples from scratch.
Start with the implementation of Airflow core nomenclature - DAG, Operators, Tasks, Executors, Cfg file, UI views etc.
ADVANCE Airflow concepts, the explanation to which is not very clear even in Airflow's Official Documentation.
XComs, Hooks, Pools, SubDAGs, Variables, Connections, Plugins, Adhoc queries, Branching, Sensors and many more....
Exclusive features - Data Profiling, Charts, Trigger rules, airflowignore file, Zombies, Undeads, LatestOnly operator.
Create data pipeline of Real-Time case studies using Apache Airflow.
Learn Best practices / Do's & Don'ts to follow in Real-Time Airflow Projects.
Codes and Data-sets are available in resources tab.
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Comidoc Review
Our Verdict
This course offers extensive insight into Apache Airflow, starting from fundamentals to more intricate features. It's helpful for hands-on learners looking to gain practical experience with real-world case studies. However, it falls short of discussing current installation methods and may have outdated information on certain topics. Despite these limitations, its well-explained examples make it a solid choice for Airflow enthusiasts seeking a comprehensive learning path.
What We Liked
- Comprehensive coverage of Apache Airflow, from basic concepts like DAGs, Operators, and Executors to advanced topics such as XComs, Hooks, Pools, SubDAGs, Variables, Connections, Plugins, Trigger rules, airflowignore file, Zombies, Undeads, LatestOnly operator
- Hands-on examples and real-life case studies that provide a practical understanding of Airflow applications
- Updated course materials with recent upgrades in November 2023, ensuring alignment with the latest industry practices
- Available datasets and codes in the resources tab facilitate easy learning and experimentation
Potential Drawbacks
- Does not provide a detailed installation guide or discuss various installation methods such as pip, Docker, etc.
- Some content may be outdated, particularly related to Airflow's ad hoc queries which do not exist in modern Airflow
- Lacks an explanation of advanced concepts and basic interview questions for learners seeking a deeper understanding
Related Topics
2699438
udemy ID
10/12/2019
course created date
01/02/2020
course indexed date
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