Pipeline design
Activities, datasets, and linked services structured so a failure is easy to find.
Training program
Build, monitor, and troubleshoot cloud data pipelines on Azure — aimed at analysts moving into engineering and engineers new to ADF.
What you get
Activities, datasets, and linked services structured so a failure is easy to find.
Triggers, tumbling windows, and dependencies that match how data actually arrives.
Transformations you can explain, with parameters instead of hard-coded paths.
Alerts and reruns so you are not watching the portal at 7am hoping it finished.
SQL, Blob, and common SaaS sources used in real projects — not only demo stores.
How to talk about a pipeline you built, including what you would change next.
How we work
Core concepts, clean habits, and the shortcuts that save hours before any advanced work begins.
Live exercises on realistic datasets with a trainer in the room — not a silent video library.
Assignments mapped to the files and questions you actually face in your role.
Feedback on your work, not just a score. You see what to fix before the next session.
A portfolio piece employers can review: a dashboard, model, pipeline, or analysis pack.
Interview prompts, a walkthrough of your project, and guidance on how to talk about the work.
Client stories
I finally understood why our production pipeline failed on weekends. The labs used messy sources.
The monitoring module was worth the fee. We copied the alert pattern at work the next week.
Clear, no slide theatre. We built something I could put on a résumé.
Help centre
Basic cloud awareness helps. We cover subscriptions, resource groups, and the ADF surface in the first sessions.
Live sessions with recordings for revision. Corporate batches can be scheduled to your team’s timezone.
Yes, after you complete the capstone. The project is the part hiring managers actually look at.
Yes. We run private corporate batches on your files when that is more useful than public examples.
You get the recording and can book a short catch-up with the trainer during the cohort.
Ask about the next Azure Data Factory cohort or a private batch for your engineering team.
Contact us