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Dynamic Task Mapping in Apache Airflow
Dynamic Task Mapping is a new feature of Apache Airflow 2.3 that puts your DAGs to a new level. Now, you can create tasks dynamically without knowing in advance how many tasks you need. This feature is for you if
DAG Dependencies in Apache Airflow: The Ultimate Guide
DAG Dependencies in Apache Airflow might be one of the most popular topics. I received countless questions about DAG dependencies, is it possible? How? What are the best practices? and the list goes on. It’s funny because it comes very
Dynamic DAGs in Apache Airflow: The Ultimate Guide
Airflow dynamic DAGs can save you a ton of time. As you know, Apache Airflow is written in Python, and DAGs are created via Python scripts. That makes it very flexible and powerful (even complex sometimes). By leveraging Python, you
Airflow TaskGroups: All you need to know!
Airflow TaskGroups have been introduced to make your DAG visually cleaner and easier to read. They are meant to replace SubDAGs which was the historic way of grouping your tasks. The problem with SubDAGs is that they are much more
Airflow Timetable: Schedule your DAGs like never before
Airflow Timetable. This new concept introduced in Airflow 2.2 is going to change your way of scheduling your data pipelines. Or I would say, you’re finally going to have all the freedom and flexibility you ever dreamt of for scheduling
Airflow Trigger Rules: All you need to know!
By default, your tasks get executed once all the parent tasks succeed. this behaviour is what you expect in general. But what if you want something more complex? What if you would like to execute a task as soon as
