# Orchestrating Machine Learning Pipelines with Dagster

DevFeed: [Orchestrating Machine Learning Pipelines with Dagster](<https://devfeed.tech/articles/orchestrating-machine-learning-pipelines-with-dagster-83649.md>)

Original publisher: [Read original article](<https://dagster.io/blog/dagster-ml-pipelines>)

Author: Sandy Ryza

Published: 2022-10-31T00:00:00Z

Content type: tutorial

Language: en

Sources: [Dagster](<https://devfeed.tech/sources/dagster.md>)

Topics: [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>), [CI/CD](<https://devfeed.tech/topics/cicd.md>)

Tags: [airflow](<https://devfeed.tech/tags/airflow.md>), [apache-airflow](<https://devfeed.tech/tags/apache-airflow.md>), [apis](<https://devfeed.tech/tags/apis.md>), [core-data](<https://devfeed.tech/tags/core-data.md>), [dagster](<https://devfeed.tech/tags/dagster.md>), [data-pipelines](<https://devfeed.tech/tags/data-pipelines.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [dbt](<https://devfeed.tech/tags/dbt.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [machine-learning-pipelines](<https://devfeed.tech/tags/machine-learning-pipelines.md>)

## AI overview

The article explains how Dagster, an open source data orchestrator, supports machine learning pipelines from development through production. It describes modeling data assets and dependencies, iterating on training and evaluation, and running pipelines in lightweight development environments and production infrastructure.

## Source excerpt

How to use Dagster's open source data orchestrator to build machine learning pipelines and train ML models.