Automated Continuous CData Connect AI Replication to Snowflake

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

Configure Snowflake as a Replication Destination

Using CData Sync, you can replicate CData Connect AI data to Snowflake. To add a replication destination, navigate to the Connections tab.

1. Click Add Connection. 👁 Add a new connection.
   
2. Select the Destinations tab and locate the Snowflake connector. 👁 Configure a Destination connection to Snowflake.
   
3. Click the Configure Connection icon at the end of that row to open the New Connection page. If the Configure Connection icon is not available, click the Download Connector icon to install the Snowflake connector. For more information about installing new connectors, see Connections in the Help documentation.
4. To connect to Snowflake, set the following connection properties:
   • Connection Name: Enter a connection name of your choice for the Snowflake connection.
   • Warehouse: Enter the name of your Snowflake warehouse.
   • URL: Enter the URL for your Snowflake database. CData Sync supports both Microsoft Azure and Amazon Web Services (AWS) instances:
     • AWS: https://MyAccount.Region.snowflakecomputing.com
     • Azure: https://MyAccount.Region.azure.snowflakecomputing.com
   • URL: Enter the URL of the Snowflake database instance, for example: https://myaccount.snowflakecomputing.com
   • Database: The name of the Snowflake database
   • Auth Scheme: Select the authentication scheme. The default auth scheme is Password. The auth schemes available for Snowflake are Password, OKTA, PrivateKey, AzureAD, OAuth, PingFederate, and External Browser.
   • User: Enter the username that you use to authenticate to Snowflake.
   • Password: Enter the password that you use to authenticate to Snowflake.
   • Schema: The schema of the Snowflake database.
👁 Enter the connection details.

5. Once connected, click Create & Test to create, test and save the connection.

You are now connected to Snowflake and can use it as both a source and a destination.

NOTE: You can use the Label feature to add a label for a source or a destination.

👁 Add a label.

In this article, we will demonstrate how to load CData Connect AI data into Snowflake and utilize it as a destination.

Configure the CData Connect AI Connection

You can configure a connection to CData Connect AI from the Connections tab. To add a connection to your CData Connect AI account, navigate to the Connections tab.

1. Click Add Connection.
2. Select a source (CData Connect AI).
3. Configure the connection properties.
   
   

   There are two ways to connect to Connect AI: OAuth authentication and Basic authentication.

   To connect to Connect AI using OAuth, set Auth Scheme to "OAuth." When the OAuth login page appears in your default web browser, log in to Connect AI to proceed.

   If you are unable to use browser-based OAuth authentication to connect to Connect AI, you can use Basic authentication. In this case, set Auth Scheme to "Basic,"" and then set the User and Personal Access Token for Connect AI.

   Connect to a Workspace

   To connect the JDBC client to a specific workspace, you specify the workspace name in the Advanced tab of the JDBC driver for Connect AI.

   👁 Configuring a Source connection (Salesforce is shown).
   
4. Click Connect to CData Connect AI to ensure that the connection is configured properly.
5. Click Save & Test to save the 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.

👁 Select Source and Destination connections for the replication.

Replicate Entire Tables

To replicate an entire table, navigate to the Task tab in the Job, click Add Tasks, choose the table(s) from the list of CData Connect AI tables you wish to replicate into Snowflake, and click Add Tasks again.

👁 Choose entire tables to replicate (Salesforce is shown).

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 with the help of SQL queries. 👁 Configure a replication Transform.

Schedule Your Replication

Select the Overview tab in the Job, and click Configure under Schedule. You can schedule a job to run automatically by configuring it to run at specified intervals, ranging from once every 10 minutes to once every month.

👁 Schedule your job to run automatically.

Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your CData Connect AI data to Snowflake.

Run the Replication Job

Once all the required configurations are made for the job, select the CData Connect AI table you wish to replicate and click Run. After the replication completes successfully, a notification appears, showing the time taken to run the job and the number of rows replicated.

👁 Run the job.

Free Trial & More Information

Now that you have seen how to replicate CData Connect AI data into Snowflake, visit our CData Sync page to explore more about CData Sync and download a free 30-day trial. Start consolidating your enterprise data today!

As always, our world-class Support Team is ready to answer any questions you may have.