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Automated Continuous LinkedIn Replication to Apache Kafka
Use CData Sync for automated, continuous, customizable LinkedIn replication to Apache Kafka.
Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live LinkedIn 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.
Configure Apache Kafka as a Replication Destination
Using CData Sync, you can replicate LinkedIn data to Apache Kafka. To add a replication destination, navigate to the Connections tab.
- Click Add Connection.
- Select the Destinations tab and locate the Apache Kafka connector.
- 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 Apache Kafka connector. For more information about installing new connectors, see Connections in the Help documentation.
- To connect to Apache Kafka, set the following connection properties:
- Connection Name: Enter a connection name of your choice for the Apache Kafka connection.
- Bootstrap Servers: Enter the address of the Apache Kafka Bootstrap servers to which you want to connect.
- Auth Scheme: Select the authentication scheme. Plain is the default setting. For this setting, specify your login credentials:
- User: Enter the username that you use to authenticate to Apache Kafka.
- Password: Enter the password that you use to authenticate to Apache Kafka.
- Type Detection Scheme: Specify the detection-scheme type (None, RowScan, SchemaRegistry, or MessageOnly) that you want to use. The default type is None.
- Registry Url: Enter the URL to the server for the schema registry.
- Registry Service: Select the Schema Registry service that you want to use for working with topic schemas.
- Registry Auth Scheme: Select the scheme that you want to use to authenticate to the schema registry.
- Use SSL: Specify whether you want to use the Secure Sockets Layer (SSL) protocol. The default value is False.
- Once connected, click Create & Test to create, test and save the connection.
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.
In this article, we will demonstrate how to load LinkedIn data into Apache Kafka and utilize it as a destination.
Configure the LinkedIn Connection
You can configure a connection to LinkedIn from the Connections tab. To add a connection to your LinkedIn account, navigate to the Connections tab.
- Click Add Connection.
- Select a source (LinkedIn).
- Configure the connection properties.
LinkedIn uses the OAuth 2 authentication standard. Obtain the OAuthClientId and OAuthClientSecret by registering an app with LinkedIn. For more information refer to our authentication guide.
- Click Connect to LinkedIn to ensure that the connection is configured properly.
- 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.
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 LinkedIn tables you wish to replicate into Apache Kafka, and click Add Tasks again.
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.
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.
Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your LinkedIn data to Apache Kafka.
Run the Replication Job
Once all the required configurations are made for the job, select the LinkedIn 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.
Free Trial & More Information
Now that you have seen how to replicate LinkedIn 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.
