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Connect to Azure Data Lake Storage Data and Transfer Data in Talend

Integrate Azure Data Lake Storage data with standard components and data source configuration wizards in Talend Open Studio.

This article shows how you can easily integrate the CData JDBC driver for Azure Data Lake Storage into your workflow in Talend. This article uses the CData JDBC Driver for Azure Data Lake Storage to transfer Azure Data Lake Storage data in a job flow in Talend.

Connect to Azure Data Lake Storage in Talend as a JDBC Data Source

You can follow the procedure below to establish a JDBC connection to Azure Data Lake Storage:

  1. Add a new database connection to Azure Data Lake Storage data: To add a new connection, expand the Metadata node, right-click the Db Connections node, and then click Create Connection.
  2. In the resulting wizard, enter a name for the connection.
  3. On the next page, select Generic JDBC from the DB Type menu and enter the JDBC URL.

    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.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Azure Data Lake Storage JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.adls.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    A typical JDBC URL is below:

    jdbc:adls:Schema=ADLSGen2;Account=myAccount;FileSystem=myFileSystem;AccessKey=myAccessKey;InitiateOAuth=GETANDREFRESH
  4. Enter the path to the cdata.jdbc.adls.jar file, located in the lib subfolder of the installation directory.
  5. Right-click the connection and then click Retrieve Schema.
  6. Click Next with the default options to select the tables you want to import.
  7. Finish the wizard with the default options.

Output the Resources Table to a Flat File

You can follow the procedure below to transfer the Resources table to a flat file output component:

  1. In the Table Schemas node, drag the tables to the workspace.
  2. In the dialog that is displayed, select the tJDBCInput component.
  3. Next, drag a tFileOutputDelimited component from the Business Intelligence tab of the Palette into the workspace.
  4. Right-click the Resources tJDBCInput component and drag a vector to the output file.

Run the project to transfer the data.