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Azure Data Lake Storage Icon Azure Data Lake Storage ODBC Driver

The Azure Data Lake Storage ODBC Driver is a powerful tool that allows you to connect with live data from Azure Data Lake Storage, directly from any applications that support ODBC connectivity.

Access Azure Data Lake Storage data like you would a database - read, write, and update Azure Data Lake Storage ADLSData, etc. through a standard ODBC Driver interface.

Create an RPA Flow that Connects to Azure Data Lake Storage Data in UiPath Studio



Use the Azure Data Lake Storage ODBC Driver to create workflows that access real-time Azure Data Lake Storage data without any coding.

UiPath is a Robotic Process Automation (RPA) platform with rich features and an easy-to-use UI that enables non-developers to create process automation. By using UiPath Studio, you can build an RPA program just like drawing a diagram. With the CData ODBC Driver for Azure Data Lake Storage, users can embed Azure Data Lake Storage data in the workflow.

This article walks through using the Azure Data Lake Storage ODBC Driver in UiPath Studio to create an RPA program that accesses Azure Data Lake Storage data.

Configure the Connection to Azure Data Lake Storage

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Authenticating to a Gen 1 DataLakeStore Account

Gen 1 uses OAuth 2.0 in Azure AD for authentication.

For this, an Active Directory web application is required. You can create one as follows:

  1. Sign in to your Azure Account through the .
  2. Select "Azure Active Directory".
  3. Select "App registrations".
  4. Select "New application registration".
  5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
  6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
  7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

  • Schema: Set this to ADLSGen1.
  • Account: Set this to the name of the account.
  • OAuthClientId: Set this to the application Id of the app you created.
  • OAuthClientSecret: Set this to the key generated for the app you created.
  • TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
  • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

Authenticating to a Gen 2 DataLakeStore Account

To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

  • Schema: Set this to ADLSGen2.
  • Account: Set this to the name of the account.
  • FileSystem: Set this to the file system which will be used for this account.
  • AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
  • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

Connect UiPath Studio to Azure Data Lake Storage Data

Now you are ready to use Azure Data Lake Storage data ODBC DSN in UiPath Studio with the following steps.

  1. From the Start page, click Blank to create a New Project.
  2. Click Manage Packages then search for and install UiPath.Database.Activities.
  3. Navigate to the Activities and drop a Flowchart (Workflow -> Flowchart -> Flowchart) onto the process.
  4. Drop a database Connect activity (App Integration -> Datbase -> Connect) after the Start activity.
  5. Double-click the Connect activity and configure the Connection.
    1. Click the Connection Wizard
    2. Select "Microsoft ODBC Data Source"
    3. In Connection Properties, select your DSN (CData ADLS Source) and click OK
  6. To store Connection info, create a variable and bind to Output in the Properties section. Choose DatabaseConnection in Output.

Create an Execute Query Activity

With the connection configured, we are ready to query Azure Data Lake Storage data in our RPA.

  1. From the Activities navigation, select Execute Query and drop it on the Flowchart.
  2. Double-click the Execute Query activity and set the properties as follows:
    • ExistingDbConnection: Your Connection variable
    • Sql: SELECT statement like SELECT FullPath, Permission FROM Resources WHERE Type = 'FILE'
    • DataTable: Create and use a variable with the Type System.Data.DataTable

Create Write CSV Activity

With the Connection and Execute Query activities configured, we are ready to add a Write CSV activity to the Flowchart to replicate the Azure Data Lake Storage data.

  1. From the Activities navigation, select Write CSV and drop it after the Execute Query activity.
  2. Double-click the Write CSV activity and set the properties as follows:
    • FilePath: Set to a file (new or existing) on disk (i.e.: C:\UiPath[id]-data.csv
    • DataTable: Set to the DataTable variable you created earlier

Connect the Activities and Run the Flowchart

If they are not already connected, connect each Activity that you created to complete the RPA project for extracting Azure Data Lake Storage data and exporting it to CSV.

Click Run to extract Azure Data Lake Storage data and create a CSV file.

In this article, we used the CData ODBC Driver for Azure Data Lake Storage to create an automation flow that accesses Azure Data Lake Storage data in UiPath Studio. Download a free, 30-day trial of the ODBC Driver and start working with live Azure Data Lake Storage data in UiPath Studio today!