Learn to author, schedule and monitor data pipelines through practical examples using Apache Airflow
Apache Airflow is an open-source platform to programmatically author, schedule and monitor workflows. If you have many ETL(s) to manage, Airflow is a must-have.
In this course you are going to learn everything you need to start using Apache Airflow through theory and pratical videos. Starting from very basic notions such as, what is Airflow and how it works, we will dive into advanced concepts such as, how to create plugins and make real dynamic pipelines.
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
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Hi there,My name is Marc Lamberti, I'm 27 years old and I'm very happy to arouse your curiosity! I'm currently working as Big Data Engineer in full-time for the biggest online bank in France, dealing with more than 1 500 000 clients. For more than 3 years now, I created different ETLs in order to address the problems that a...
There is no guide about where to put the Dag python file before jump into code
Good overview with optimal speed - for me.
good
Fine.
A great way to start learning about airflow, Marc is very knowledgeable and really knows the ins and outs of airflow. This will only give an overview and won't make you a professional, but at least you will build the foundations necessary to improve.
Always love hands-on courses to give you actual experience. The quizzes test you on concepts, and the assignments test you on actual know-how.
Lecturer is excellent. Short and sharp both in words and code... Thank you!
Excelent course! Really useful for development!
Already started the production airflow coruse:
"Apache Airflow: The Hands-On Guide" from same author, and it is incredibly!
clear explanation
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Dv
Good intro to Airflow if you want to grasp concepts fast.