Category: Data Engineering
How to review changes to dbt data models before they go live
Review dbt model PRs for grain, joins, filters, tests, docs, and blast radius. Green CI means the files compile. It does not mean the metric is safe for…
How to use retries and sensors in Apache Airflow, and when to skip Airflow
Retries buy time for flukes; sensors encode waiting with deadlines. Learn when to retry, how to sensor a late file without burning workers, and when Airflow is the…
How to build and test your first data models with dbt, a SQL tool
Turn layout into working models. Write your first staging and mart SQL, wire refs, add unique and not-null tests, and run a small build you can actually explain…
Apache Airflow tutorial: build your first data pipeline (DAG)
Orchestration is a ticket rail, not a junk drawer. Learn what an Airflow DAG is, how tasks and dependencies map to real runbook stations, and how to sketch…
How to organize the files in a dbt project so your team can find things
A messy dbt repo ages fast. Map staging, intermediate, and marts with clear naming and one grain per model so the project scales past your first three tables…
