An Azure service for ingesting, preparing, and transforming data at scale.
Use the Azure Data Factory monitoring and authoring experiences to locate existing pipelines and verify whether they still exist.
- In the Azure portal, open the Data Factory resource where the pipelines were created.
- To monitor existing pipeline runs:
- Select the Monitor & Manage tile from the data factory blade, or select the Monitor icon in the ADF UX left sidebar.
- This view shows all pipeline runs for that Data Factory in the selected time range. If no runs appear, adjust the time filter or confirm that you are in the correct Data Factory and subscription.
- To see and edit the pipelines themselves:
- From the same Data Factory, switch to the Author (authoring) experience.
- In the Pipelines tree, expand to see all defined pipelines. If a pipeline is missing here, it has likely been deleted or is in a different Data Factory, subscription, or region.
- If Git integration is enabled and a pipeline fails to open or shows an error icon (red dot with x) next to its name, the underlying JSON file may be corrupted:
- Fix the pipeline JSON in the Git repository (for example, by reverting to a known-good commit).
- After correcting the JSON, reopen the pipeline in the Authoring tool.
- If multiple subscriptions or regions are used, repeat the steps above for each relevant Data Factory to locate older pipelines.
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