Apache Airflow
Function: Apache Airflow is an open-source platform designed for authoring, scheduling, and monitoring workflows as Directed Acyclic Graphs (DAGs). It’s primarily used for information engineering and ETL (Extract, Remodel, Load) processes, enabling the automation of complicated workflows.
Key Options:
- DAGs: Workflows are represented as DAGs, the place every node is a activity, and edges signify dependencies.
- Extensibility: Airflow provides a variety of pre-built operators for integrating with numerous providers, together with cloud suppliers like AWS, GCP, and Azure.
- Scheduling: Airflow has highly effective scheduling capabilities, permitting duties to be executed on an everyday schedule or triggered by exterior occasions.
- Monitoring and Logging: The Airflow UI supplies instruments for monitoring activity execution, viewing logs, and managing workflows.
- Neighborhood and Ecosystem: Airflow has a big and lively neighborhood, contributing to a mature ecosystem with many reusable parts and plugins.
Use Circumstances:
- ETL processes
- Information pipeline orchestration
- Automated report era