The airflow schedule interval could be a challenging concept to comprehend, even for developers work on Airflow for a while find difficult to grasp. A confusing question arises every once a while on StackOverflow is “Why my DAG is not running as expected?”. This problem usually indicates a misunderstanding among the Airflow schedule interval.
Discover the Essential Reading List for Data Engineers: 10 Classic Books You Can’t Miss. While many free online resources are available, they often lack the depth and context needed to truly master the field. In this article, I will share ten classic books that cover everything from fundamental technical skills like Python and SQL, to more advanced topics like Apache Spark, Apache Flink, Apache Beam, Apache Airflow, Kubernetes, distributed systems, and dimensional modeling.
Pandas is no doubt one of the most popular libraries in Python. However, Pandas doesn’t shine in the land of data processing with a large dataset. We will compare 4 faster pandas alternatives for data analysis: Polars, Dask, Vaex, Modin
Python decorator is syntactic sugar. You can achieve everything without explicitly using the decorator. However, Using the decorator can help your code be more concise and readable. Ultimately, you write fewer lines of code by leveraging Python decorators.
