#Airflow etl how to#
In addition to classic application ideas, you will find inspiration on how to enrich your data pipelines with state-of-the-art features. To get a better overview of the possible use cases of Apache Airflow, we have summarized various use cases for you here. In the second workflow (example_complex) the context menu is activated. The status of the tasks of the last workflow is visible on the right (Recent Tasks). The status of the workflow runs is visible on the left (Runs). The application spectrum focuses on the ETL area, whereby Apache Airflow machine learning workflows optimally orchestrate as well.Īpache Airflow web interface. Nevertheless, looking into the web interface is not mandatory, as Airflow optionally sends a notification via email or Slack in case of a failed attempt. While Apache Airflow ETL workflows independently performs, you are well informed about the current status. Important metadata such as the interval and the time of the last run are visible via the main view. The status of a workflow's runs and the associated log files are just a click away. Depending on requirements, Airflow can be extended with numerous plug-ins, macros and user-defined classes. Numerous functions are available that significantly simplify monitoring and troubleshooting. Because the challenges of data engineering don't end there, Airflow brings a rich command line interface, an extensive web interface and, since the new major release Apache-Airflow 2.0, an expanded REST API. Even complex data pipelines with numerous internal dependencies between tasks in the workflow are defined quickly and robustly. Workflows are defined, planned and executed with simple Python codes.
The extremely scalable solution makes the platform suitable for any size of company, from startups to large corporations.
#Airflow etl software#
The top-level project of the Apache Software Foundation has already inspired many companies. Get inspired by the possibilities in this article!Įxample ETL workflow with the steps Extract, Aggregate Transform, Load into Airflow Apache Airflow Even in the installation without plug-ins there is a lot of potential. The workflow management platform is free to use under the Apache License and can be individually modified and extended. It orchestrates recurring processes that organize, manage and move their data between systems. Running ETL workflows with Apache Airflow means relying on state-of-the-art workflow management.