From 79415700078d2ef03c04ad737f4a09f68aafc62e Mon Sep 17 00:00:00 2001 From: colton Date: Tue, 3 Dec 2024 14:12:13 -0500 Subject: [PATCH] [docs] include link to airlift video in tutorial (#26252) ## Summary & Motivation Let me know if you'd prefer it here, or in https://docs.dagster.io/integrations/airlift#airlift image ## How I Tested These Changes ## Changelog > Insert changelog entry or delete this section. --- docs/content/integrations/airlift.mdx | 15 +++++++++++++++ docs/content/integrations/airlift/tutorial.mdx | 15 --------------- 2 files changed, 15 insertions(+), 15 deletions(-) diff --git a/docs/content/integrations/airlift.mdx b/docs/content/integrations/airlift.mdx index 98af2ff45a737..a3b5e15e954d7 100644 --- a/docs/content/integrations/airlift.mdx +++ b/docs/content/integrations/airlift.mdx @@ -7,6 +7,21 @@ Airlift is a toolkit for integrating Dagster and Airflow. --- +## Introduction + +Watch a quick introduction of Airlift from [Data Platform Week](https://dagster.io/events/data-platform-week). + + + ## Compatibility ### REST API Availability diff --git a/docs/content/integrations/airlift/tutorial.mdx b/docs/content/integrations/airlift/tutorial.mdx index cd5e973461923..0569dd7f4f0a6 100644 --- a/docs/content/integrations/airlift/tutorial.mdx +++ b/docs/content/integrations/airlift/tutorial.mdx @@ -2,21 +2,6 @@ This example demonstrates how to migrate an Airflow DAG to Dagster using the `dagster-airlift` package. It contains code examples of how to peer, observe, and migrate assets from an Airflow DAG to Dagster. The below guide will walk through each of these steps in detail. -## Example Structure - -```plaintext -tutorial_example -├── shared: Contains shared Python & SQL code used Airflow and proxied Dagster code -│ -├── dagster_defs: Contains Dagster definitions -│ ├── stages: Contains reference implementations of each stage of the migration process -│ ├── definitions.py: Empty starter file for following along with the tutorial -│ -├── airflow_dags: Contains the Airflow DAG and associated files -│ ├── proxied_state: Contains migration state files for each DAG, see migration step below -│ ├── dags.py: The Airflow DAG definition -``` - ## Guide This tutorial will walk through the process of peering, observing, and migrating assets from an Airflow DAG to Dagster.