Automated Continuous Azure Data Lake Storage Replication to Google BigQuery

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CData Sync



Use CData Sync for automated, continuous, customizable Azure Data Lake Storage replication to Google BigQuery.

Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Azure Data Lake Storage data into your Google BigQuery instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.

Configure Google BigQuery as a Replication Destination

Using CData Sync, you can replicate Azure Data Lake Storage data to Google BigQuery. To add a replication destination, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select Google BigQuery as a destination.
  3. Enter the necessary connection properties. To connect to Google BigQuery, use OAuth authentication:

    Authenticate with a User Account

    In this OAuth flow, you can connect without setting any connection properties for your user credentials.

    1. Click Connect, and CData Sync opens the Google BigQuery OAuth endpoint.
    2. Log in and grant permissions to CData Sync.
    3. CData Sync then completes the OAuth process.

    Authenticate with a Service Account

    Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes to CData Sync.

    You need to create an OAuth application in this flow. See Creating a Custom OAuth App in the Getting Started section to create and authorize an app. You can then connect to Google BigQuery data that the service account has permission to access.

    After setting the following connection properties, you are ready to connect:

    • OAuthClientId: Set this to the Client ID in your app settings.
    • OAuthClientSecret: Set this to the Client Secret in your app settings.
    • OAuthJWTCertType: Set this to "PEMKEY_FILE".
    • OAuthJWTCert: Set this to the path to the .pem file you generated.
    • OAuthJWTCertPassword: Set this to the password of the .pem file.
    • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
    • OAuthJWTSubject: Set this to the email address of the user for whom the application is requesting delegate access. Note that delegate access must be granted by an administrator.
    • DatasetId: Set this to the ID of the dataset you want to connect to.
    • ProjectId: Set this to the ID of the project you want to connect to.
    When you connect, CData Sync completes the OAuth flow for a service account.

  4. Click Test Connection to ensure that the connection is configured properly.
  5. Click Save Changes.

Configure the Azure Data Lake Storage Connection

You can configure a connection to Azure Data Lake Storage from the Connections tab. To add a connection to your Azure Data Lake Storage account, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select a source (Azure Data Lake Storage).
  3. Configure the connection properties.

    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.
  4. Click Connect to ensure that the connection is configured properly.
  5. Click Save Changes.

Configure Replication Queries

CData Sync enables you to control replication with a point-and-click interface and with SQL queries. For each replication you wish to configure, navigate to the Jobs tab and click Add Job. Select the Source and Destination for your replication.

Replicate Entire Tables

To replicate an entire table, click Add Tables in the Tables section, choose the table(s) you wish to replicate, and click Add Selected Tables.

Customize Your Replication

You can use the Transform feature to customize your replication. The Transform feature allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. To customize your replication, click the Transform button in the Tables section and customize the replication.

Schedule Your Replication

In the Schedule section, you can schedule a job to run automatically, configuring the job to run after specified intervals ranging from once every 15 minutes to once every month.

Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your Azure Data Lake Storage data to Google BigQuery.