Import Excel Online Data Using Azure Data Factory

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

CData Connect Cloud offers a cloud-to-cloud interface tailored for Excel Online, granting you the ability to access live data from Excel Online 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 Cloud seamlessly channels all supported SQL operations, including filters and JOINs, directly to Excel Online. This harnesses server-side processing to expedite the retrieval of the desired Excel Online data.

Configure Excel Online Connectivity for ADF

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

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 "Excel Online" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Excel Online.

   You can connect to a workbook by providing authentication to Excel Online and then setting the following properties:

   • Workbook: Set this to the name or Id of the workbook.

     If you want to view a list of information about the available workbooks, execute a query to the Workbooks view after you authenticate.

   • UseSandbox: Set this to true if you are connecting to a workbook in a sandbox account. Otherwise, leave this blank to connect to a production account.

   You use the OAuth authentication standard to authenticate to Excel Online. See the Getting Started section in the help documentation for a guide. Getting Started also guides you through executing SQL to worksheets and ranges.

4. Click Create & Test
5. Navigate to the Permissions tab in the Add Excel Online 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 Excel Online data from Azure Data Factory.

Access Live Excel Online 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, ExcelOnline1).
   • 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 Excel Online table.
You can now use this dataset when creating data flows in Azure Data Factory.

Get CData Connect Cloud

To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect Cloud today!