Import Azure Synapse Data Using Azure Data Factory

Azure Data Factory (ADF) is a fully managed, serverless data integration service. When paired with CData Connect Cloud, ADF provides instant, cloud-to-cloud access to Azure Synapse data in data flows. This article demonstrates how to connect to Azure Synapse using Connect Cloud and access Azure Synapse data in ADF.

CData Connect Cloud provides a pure cloud-to-cloud interface for Azure Synapse, allowing you to access data from live Azure Synapse data in Azure Data Factory — without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to Azure Synapse, leveraging server-side processing to return the requested Azure Synapse data quickly.

Connect to Azure Synapse in Connect Cloud

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Azure Synapse" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Azure Synapse.

   Connecting to Azure Synapse

   In addition to providing authentication (see below), set the following properties to connect to a Azure Synapse database:

   • Server: The server running Azure. You can find this by logging into the Azure portal and navigating to Azure Synapse Analytics -> Select your database -> Overview -> Server name.
   • Database: The name of the database, as seen in the Azure portal on the Azure Synapse Analytics page.

   Authenticating to Azure Synapse

   Connect to Azure Synapse using the following properties:

   • User: The username provided for authentication with Azure.
   • Password: The password associated with the authenticating user.
4. Click Create & Test
5. Navigate to the Permissions tab in the Add Azure Synapse Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured, you are ready to connect to Azure Synapse data from Azure Data Factory.

Access Live Azure Synapse Data in Azure Data Factory

To establish a connection from Azure Data Factory to the CData Connect Cloud Virtual SQL Server API, follow these steps.

1. Login to Azure Data Factory.
2. If you have not yet created a Data Factory, Click New -> Dataset.
3. In the search bar, enter SQL Server and select it when it appears. On the following screen, enter a name for the server. In the Linked service field, select New.
4. Enter the connection settings.
   • Name - enter a name of your choice.
   • Server name - enter the Virtual SQL Server endpoint and port separated by a comma: tds.cdata.com,14333
   • Database name - enter the Connection Name of the CData Connect Cloud data source you want to connect to (for example, AzureSynapse1).
   • User Name - enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, test@cdata.com.
   • Password - select Password (not Azure Key Vault) and enter the PAT you generated on the Settings page.
   • Click Create.
5. In Set properties, set the Name, choose the Linked service we just created, select a Table name from those available, and Import schema from connection/store. Click OK.
6. After creating the linked service, the following screen should appear:
7. Click preview data to see the imported Azure Synapse table.
You can now use this dataset when creating data flows in Azure Data Factory.

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