Exploring how to use and deploy Azure Data Factory
In the previous blog, we have prepared 3 basic things that enough for Data Factory can work on. Now I will continue with deploying them to Data Factory through Azure portal.
Create Data Factory
After logged in to Azure portal, just following steps to create new Data Factory
In the create popup, fill in the information and click to
And we have it created.
Click to the action
Author and deploy to go to deployment editor with nothing here yet.
Deploy Data Factory Resources
To create a Linked service, click to
New data store and select a type of service. In this case, I will choose
Azure SQL Database
Now, the editor will show the template for AzureSqlLinkedService, but we have it already, just copy the prepared json in ProdSQLLinkedService.json file to editor and click
When it’s deployed successfully, we will see it in Linked services list
Just following 3 steps to deploy other resources
- Select correct type of resource, click to
... Moreto select dataset or pipeline
- Copy the prepared json to editor
- Click to
Deployand check the resource on resources list
After deployed everything, we will see something like this
Data Factory Resource Explorer
Monitor & Manage at Data factory information screen
Now we are in the Data Factory’s resource explorer to verify our task is set up correctly, and check the running activity status as well.
To rerun an failed activity or just for debug if you have a change on the resources, use
rerun button on an activity.
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