Azure Data Factory

This page will walkthrough the setup of Azure Data Factory in K.

Step 1) Enabling Azure Data Factory Admin APIs to be accessible to an AD Group

• Under Azure services click on Data factories

• Locate the Data Factory that you would like to connect to K

• Click on Overview to copy the below details for a later step:

  • Factory name

  • Resource group name

  • Subscription ID

    

Step 2) Registering Azure Data Factory App in Azure AD

• Log in to your company’s Azure Portal and open the Azure Active Directory page

• Select App Registration in the side panel and click New registration

• Complete the registration form

  • Name: Enter a name for the integration e.g. KADA Azure Data Factory API Integration

  • Supported account types: Select Accounts in this organisation directory only

  • Redirect URL: Add Web / https://www.kada.ai

• Click Register to complete the registration

• Click on the newly created KADA Azure Data Factory API Integration App

• Save the Application (client) ID and Directory (tenant) ID for use in a later step

• Click on Endpoints and save the URL for OpenID Connect metadata document for use in a later step

• Select Certificates & secrets in the side panel and click New client secret

• Complete the new secret form and save the Secret Value for use in a later step

Step 3) Update your Azure Data Factory access control

To ensure your Azure Data Factory can connect to K, you will need to provide the Azure Data Factor with the correct Role Assignment

• Click on Access control (IAM) in the panel and click Add

• Select Data Factory Contributor

Step 4) Add Azure Data Factory as a New Source

• Select Platform Settings in the side bar

• In the pop-out side panel, under Integrations click on Sources

• Click Add Source and select AZURE_DATA_FACTORY

  

• Select Direct Connect and add your Azure Data Factory details and click Next

• Fill in the Source Settings and click Save & Next

  • Name: Give the Azure Data Factory source a name in K. If you have multiple ADFs, each one will need to have a unique name

  • Host: Enter the url e.g. adf.azure.com

  • Timeout: Default is 10, sometimes it may take longer for the API to respond, so we recommend increasing it to 20

  • Add the Host/Mapping details. See Host / Database Mapping for more details

  • Select Enable Workspace Filtering if you wish to load only select Workspaces

• Add Connection Details and click Save & Next

  • Tenant ID: Add the Directory (tenant) ID copied from step 2

  • Client ID : Add the Application (client) ID copied from Step 2

  • Client Secret: Add the Secret ID copied from Step 2

• Test your connection and click Next

• If you selected Enabled Workspace Filtering select the Workspaces you want to load. If you have a lot of workspaces this may take a bit of time to load.

• Click Finish Setup

Step 4) Schedule Azure Data Factory source load

• Select Platform Settings in the side bar

• In the pop-out side panel, under Integrations click on Sources

• Locate your new Azure Data Factory Source and click on the Schedule Settings (clock) icon to set the schedule

Step 5) Manually run an ad hoc load to test Azure Data Factory

• Next to your new Source, click on the Run manual load icon

  

  Confirm how your want the source to be loaded

  

• After the source load is triggered, a pop up bar will appear taking you to the Monitor tab in the Batch Manager page. This is the usual page you visit to view the progress of source loads