Hi @Jake Atkins
Greetings & Welcome to Microsoft Q&A forum! Thanks for posting your query!
The slow publishing of changes in Azure Data Factory could be attributed to several factors. One possible reason is that the deployment process involves a series of create/update operations on various artifacts, such as datasets, linked services, and pipelines. This process can be affected by the complexity of the changes being made and the dependencies between the artifacts.
Another factor to consider is the state of the triggers. If triggers are in a "started" state, you need to stop them before making changes, which could add to the time taken for publishing.
Additionally, if there are any transient issues or service outages, these could also impact the speed of publishing changes.
If the issue still persists, kindly confirm the region.
I hope this information helps. Please do let us know if you have any further queries.
Thank you.