Machine Learning OperationsCluster Engine
Apache Airflow
Apache Airflow is an open-source platform for orchestrating and automating workflows, particularly in data engineering and machine learning pipelines.
Key Characteristics
- DAG-Based – Uses Directed Acyclic Graphs to define task dependencies.
- Extensibility – Supports plugins and custom operators for diverse needs.
- Monitoring and Logging – Tracks workflow execution for debugging and optimization.
Applications
- ETL Processes – Extracting, transforming, and loading data into databases.
- Data Pipelines – Automating tasks like data preprocessing or feature engineering.
- AI Model Training – Scheduling and monitoring model training jobs.
For example, an Airflow pipeline can fetch data from APIs, preprocess it, and train an ML model nightly to keep a recommender system up to date.
FAQ
Apache Airflow is an open-source platform that orchestrates and automates workflows, especially common in data engineering and machine learning pipelines.