OPSMOD.OPS-08 · v1.0
Pipelines for
real workloads,
not demos.
8 micro-lessons · ~66 min · Real Docker images
THE PATTERN · PLAYING
BPM 60 · 1 STEP / SEC
PLAY
01···05···09···13···
INGEST
TRANSFORM
VALIDATE
LOAD
STEP 01 / 16 · loop = your SLA
OPSDATA ENGINEERINGTRENDING
DataOps, orchestration & automation
Pipeline-as-code, quality in CI, cost-aware orchestration.
WHY THIS MATTERS · IBM 2026 DATA GUIDE
DataOps, data pipelines, data automation, and data orchestration listed as core modern data-engineering areas.
01Pipeline-as-code
02Airflow vs Dagster vs Prefect
03Data quality in CI
04Auto-rollback on quality drop
05Cost-aware orchestration
06Disaster recovery
Wire data quality into CI gates
Auto-rollback on quality drop
Pick Airflow vs Dagster vs Prefect
SKILLS YOU'LL GAIN
Real skills, real career delta.
Skills you'll gain
07- Wire data quality into CI gatesWorking
Outcome from completing the course: wire data quality into ci gates.
- Auto-rollback on quality dropWorking
Outcome from completing the course: auto-rollback on quality drop.
- Pick Airflow vs Dagster vs PrefectWorking
Outcome from completing the course: pick airflow vs dagster vs prefect.
- Pipeline-as-codeWorking
Covered in lesson sequence — drop-in ready.
- Data quality in CIWorking
Covered in lesson sequence — drop-in ready.
- Cost-aware orchestrationWorking
Covered in lesson sequence — drop-in ready.
- Disaster recoveryWorking
Covered in lesson sequence — drop-in ready.
$ docker pull snap/dataops:lesson-01
$ docker run --rm -it snap/dataops:lesson-01
snap/dataops:lesson-01
Auto-rollback lesson is now our default pattern.
@ops_omariVERIFY ON GITHUB
Comparing Airflow / Dagster / Prefect — finally settled it.
@kofi.infraVERIFY ON TWITTER
LESSONS8
HOURS~1.1
LEARNERS1,520
THIS WEEK+16%