![]() |
VOOZH | about |
Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Google Cloud Storage data into your Apache Kafka instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.
Using CData Sync, you can replicate Google Cloud Storage data to Apache Kafka. To add a replication destination, navigate to the Connections tab.
You are now connected to Apache Kafka 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.
π Add a label.In this article, we will demonstrate how to load Google Cloud Storage data into Apache Kafka and utilize it as a destination.
You can configure a connection to Google Cloud Storage from the Connections tab. To add a connection to your Google Cloud Storage account, navigate to the Connections tab.
The Google Cloud Storage source connector supports OAuth, OAuth PKCE, OAuth JWT, and GCP Instance Account authentication.
To connect with OAuth custom credentials, set the following properties:
When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth flow completes.
For silent authentication or delegated organization-wide access, create a service account in Google Cloud, grant it the required permissions on your bucket or project, register a custom OAuth application, and download the certificate file (.p12 or .pfx). Then set:
For OAuth PKCE and GCP Instance Account methods, refer to the Help documentation.
π Configuring a Source connection (Salesforce is shown).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.
π Select Source and Destination connections for the replication.To replicate an entire table, navigate to the Task tab in the Job, click Add Tasks, choose the table(s) from the list of Google Cloud Storage tables you wish to replicate into Apache Kafka, and click Add Tasks again.
π Choose entire tables to replicate (Salesforce is shown).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.
π 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 Google Cloud Storage data to Apache Kafka.
Once all the required configurations are made for the job, select the Google Cloud Storage 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.
π Run the job.Now that you have seen how to replicate Google Cloud Storage data into Apache Kafka, 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.
Learn more or sign up for a free trial:
CData Sync