Azure Data Factory
Azure Data Factory is a cloud-based data integration and orchestration service by Microsoft Azure. See all your ETLs in decube and monitor the status of your jobs.
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Azure Data Factory is a cloud-based data integration and orchestration service by Microsoft Azure. See all your ETLs in decube and monitor the status of your jobs.
General
Metadata — metadata extraction and display of asset information (tables, columns, schemas). Types collected: Schema, Virtual Table, Virtual Column, Data Job, Data Run, Data Task
General
Profiling
Preview
Data Quality
Configurable Collection
External Table
View Table
Stored Procedure
Azure Data Factory can map lineage relationships to upstream and downstream objects from the following connectors:
Upstream Connectors: postgresql, mysql, synapse, azure_server, databricks, sql_server, redshift, bigquery, adls
Downstream Connectors: postgresql, mysql, synapse, azure_server, databricks, sql_server, redshift, bigquery, adls
From our Azure account, we will need the following information:
Tenant ID
Client ID
Client Secret
Subscription ID
Resource Group Name
Factory Name
Data Source Name

On the Azure Home Page, go to Azure Active Directory.

Go to App registrations.

Click on New registration.

Click Register.

Save the Application (client) ID and Directory (tenant) ID.
Click Add a certificate or secret.
Go to Client secrets and click + New client secret.

Click Add.

Copy and save the Value.

Go to Data Factories and click the factory you wanna add.

Go to Access Control (IAM).

Click on + Add and select Add role assignment.

Select Data Factory Contributor.

Go to Members tab and Click on + Select members.

Search and select the service principal that was created in the previous step. Click on Select.

Go to Review + assign tab and Click Review + assign

Go to Data Factories and select the factory you wanna add, copy the Name and Resource group.

Copy the Subscription ID.

Fill all the required fields in the connection form, and click on Test this connection once connection is successful, give your database a name and connect the data source.
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