Airflow

Apache Airflow is an open-source platform designed to programmatically author, schedule, and monitor workflows. It allows users to manage complex data pipelines and automate tasks with ease through a flexible, scalable architecture.

Use Cases:

1. ETL Pipelines: Design, schedule, and manage Extract, Transform, Load (ETL) workflows to process and integrate data from multiple sources.

2. Data Engineering Workflows: Automate complex data engineering tasks, such as data validation, transformation, and aggregation.

3. Machine Learning Pipelines: Orchestrate machine learning workflows, from data preprocessing and model training to deployment and monitoring.

4. Data Warehousing: Schedule and monitor data loading processes to ensure data warehouses are always up-to-date.

5. Business Process Automation: Automate routine business processes, such as data updates, report generation, and system backups.

6. Cloud Data Integration: Manage and orchestrate workflows that involve multiple cloud services and data platforms for seamless data integration.