- Learning Path Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
- Data
Data Pipeline Orchestration with Dagster
Dagster is a data orchestration platform for building, running, and monitoring data pipelines using software-defined assets. In this learning path, you’ll get up and running locally, model pipelines as asset graphs with clear dependencies, and automate reliable runs with schedules and sensors. You’ll also learn how Dagster manages data loading and storage through resources and I/O managers, then apply core operational skills to troubleshoot runs and prepare a project for deployment.
Content in this path
Data Pipeline Orchestration with Dagster
Get started on your Dagster learning journey by watching the following courses.
Try this learning path for free
What You'll Learn
- How to get up and running with Dagster
- How to create assets and dependencies with Dagster
- How to automate data pipelines with Dagster
- How to manage data movement with Dagster
- How to operate and deploy data pipelines with Dagster
- Learners interested in this skill path should be comfortable writing basic Python and running code locally. Familiarity with core data pipeline concepts like dependencies, scheduling, and moving data between system is also beneficial.
- Data pipelines
- Apache Airflow
- ETL
- ELT
- Data engineering
