Import SAP Data Using Azure Data Factory

Microsoft Azure Data Factory (ADF) is a completely managed, serverless data integration service. When combined with CData Connect AI, ADF enables immediate cloud-to-cloud access to SAP data within data flows. This article outlines the process of connecting to SAP through Connect AI and accessing SAP data within ADF.

CData Connect AI offers a cloud-to-cloud interface tailored for SAP, granting you the ability to access live data from SAP data within Azure Data Factory without the need for data replication to a natively supported database. Equipped with optimized data processing capabilities by default, CData Connect AI seamlessly channels all supported SQL operations, including filters and JOINs, directly to SAP. This harnesses server-side processing to expedite the retrieval of the desired SAP data.

Getting Started

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Configure SAP Connectivity for ADF

Connectivity to SAP from Azure Data Factory is made possible through CData Connect AI. To work with SAP data from Azure Data Factory, we start by creating and configuring a SAP connection.

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

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "SAP" from the Add Connection panel

3. Enter the necessary authentication properties to connect to SAP.

   The Java edition supports connecting to an SAP system using the JCo .jar file. See the "Getting Started" chapter in the help documentation for information on using the Jco JAR file.

   The Windows edition supports connecting to SAP systems using either the librfc32.dll, the librfc32u.dll, NetWeaver, or Web Services (SOAP). Set the ConnectionType connection property to CLASSIC (librfc32.dll), CLASSIC_UNICODE (librfc32u.dll), NETWEAVER, or SOAP.

   Note: We do not distribute the librfc32.dll or other SAP assemblies. You must find them from your SAP installation and install them on your machine.

   All versions of Sync support connecting to an SAP system using Web services (SOAP). If you are using the SOAP interface you must enable SOAP access to your SAP system and set the Client, RFCUrl, SystemNumber, User, and Password properties, under the Authentication section. Additionally, set the ConnectionType to SOAP.

   See this guide on obtaining the connection properties needed to connect to any SAP system.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add SAP Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the 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 and a PAT generated, you are ready to connect to SAP data from Azure Data Factory.

Access Live SAP Data in Azure Data Factory

To establish a connection from Azure Data Factory to the CData Connect AI 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 AI data source you want to connect to (for example, SAPERP1).
   • User Name - enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
   • 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 SAP table.
You can now use this dataset when creating data flows in Azure Data Factory.

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