Automated Continuous Google Data Catalog Replication to Azure SQL

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

Configure Azure as a Replication Destination

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

1. Click Add Connection.
2. Select Azure SQL as a destination.
3. Enter the necessary connection properties. To connect to Azure SQL, set the following:
   • Server: The address of the server hosting the Azure SQL database.
   • User: The username provided for authentication with the Azure SQL database.
   • Password: The password provided for authentication with the Azure SQL database.
   • Database: The name of the Azure SQL database.

   Java Edition

   The Java version requires the Microsoft SQL Server JDBC driver, which can be downloaded from the Microsoft Download Center. Copy the JDBC driver to the lib folder of your Java Web server to make a connection.

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

Configure the Google Data Catalog Connection

You can configure a connection to Google Data Catalog from the Connections tab. To add a connection to your Google Data Catalog account, navigate to the Connections tab.

1. Click Add Connection.
2. Select a source (Google Data Catalog).
3. Configure the connection properties.
   
   

   Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.

   Before connecting, specify the following to identify the organization and project you would like to connect to:

   • OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.

     Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.

   • ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.

     Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.

   When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.

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 Columns and Query tabs of a task to customize your replication. The Columns tab allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. The Query tab allows you to add filters, grouping, and sorting to 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 10 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 Google Data Catalog data to Azure SQL.