Apache Airflow is a platform for programmatically authoring, scheduling, and monitoring workflows and data pipelines. It allows developers to define workflows as code, manage dependencies, and orchestrate complex data processing tasks in a scalable and reliable manner. Readers can explore how Apache Airflow enables organizations to build, schedule, and monitor data pipelines and ETL (Extract, Transform, Load) workflows, improving data orchestration, automation, and reliability in data-intensive applications.

Apache Airflow

How to Deploy Apache Airflow on Vultr Using Anaconda — SitePoint

“Mastering Analytics Engineering with Airbnb Data Using Four Powerful Tools”

Creating an ETL Data Pipeline Using Bash with Apache Airflow

dbt + Airflow = ❤

Amazon MWAA adds larger environment sizes

Data pipelines for the rest of us

SD Times Open-Source Project of the Week: Apache Airflow

Airflow-DBT-Snowflake ELT Pipeline in 3 minutes

AWS Patches Critical 'FlowFixation' Bug in Airflow Service to Prevent Session Hijacking

1-Click Takeover Bug in AWS Apache Airflow Reveals Larger Risk