Exploring Apache Airflow
Apache Airflow is known within the data engineering community as the go-to open source platform for “developing, scheduling, and monitoring batch-oriented workflows.” (Apache.org Airflow documentation: https://airflow.apache.org/docs/apache-airflow/stable/index.html)
Apache Airflow has emerged as the go-to open source platform for data orchestration and remains the leader as a result of its active development community. It offers a robust and flexible solution to the challenges of managing complex data workflows. Airflow enables data engineers, data scientists, artificial intelligence (AI)/ML engineering, and MLOps and DevOps professionals to design, schedule, and monitor data pipelines with ease.
The power of Apache Airflow lies in its ability to represent data workflows as directed acyclic graphs (DAGs). This intuitive approach allows users to visualize and understand relationships between tasks, making it easier to create and maintain...
