Up And Running With Dagster
 

Tired of debugging silent pipeline failures? Learn to build asset-centric data pipelines with Dagster that give you lineage, observability, and a dev workflow that keeps you moving.
What you'll learn
Data teams frequently deal with pipelines that break silently, lack visibility into what went wrong, and make it hard to trust whether the data is fresh or correct. In this course, Up and Running with Dagster, you'll gain the ability to build, run, and troubleshoot modern data pipelines using Dagster's asset-centric orchestration model. First, you'll explore what Dagster is, how it differs from tools like Airflow and Prefect, and how its core concepts (assets, jobs, runs, and asset graphs) provide built-in lineage and observability. Next, you'll discover how to install Dagster, scaffold a project, navigate the Dagster UI, and run your first asset-based pipeline end-to-end. Finally, you'll learn how to navigate Dagster's project structure, understand what happens during a run, troubleshoot failures using logs and the UI, and adopt a repeatable development workflow for iterating on pipelines. When you're finished with this course, you'll have the skills and knowledge of Dagster needed to confidently build and operate data pipelines that are observable, maintainable, and easy to evolve.