Master Apache Airflow with tutorials on creating, scheduling, and monitoring complex data pipelines. Learn to build robust ETL/ELT workflows using DAGs and best practices. Explore our collection of 6 in-depth articles about Airflow on DataEngineer Hub. Each tutorial provides practical, hands-on guidance with real-world examples to help you master Airflow concepts and best practices.
For years, the pattern was: Airflow sits in one corner of your infrastructure, dbt runs on a server somewhere else, they pass data between each other via manual credential handoffs…
I evaluated Prefect seriously. Ran it in a staging environment for six weeks. Built three real flows. Had the internal conversation about migrating. And then stayed with Airflow. That was…
TL;DR→ Delta Lake is easier to start with, especially if you’re already on Databricks→ Iceberg wins on engine flexibility — works natively with Spark, Flink, Trino, Snowflake, and more without…
How I Wired Snowflake’s Native dbt Projects to Airflow — And Finally Got True End-to-End Orchestration I’ll be honest with you — for a long time I was running dbt…
The Moment Everything Changed It was a Tuesday morning when I finally snapped. My dbt project had grown to 147 models, and the daily run was taking 2 hours and…
In the world of data, consistency is king. Manually running scripts to fetch and process data is not just tedious; it’s prone to errors, delays, and gaps in your analytics….