Category: Data Engineering
dbt lab: reviewing a model like a PR
Green CI is not a business review. Learn how to review a dbt model PR like a product change: grain, joins, filters, tests, docs, blast radius, and validation…
Airflow hello: retries, sensors, and when not to use it
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…
dbt lab: first models and tests
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…
Airflow hello: your first DAG as a ticket rail
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…
dbt lab: project layout that scales
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…
