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This article shows how to use the CData JDBC Driver for Kafka to connect to Kafka from SAP BusinessObjects Business Intelligence applications. You will use the Information Design Tool to analyze Kafka data and create a universe on the CData JDBC Driver for Kafka. You will then connect to the universe from Web Intelligence.
Follow the steps below to create a connection to the Kafka JDBC data source in the Information Design Tool.
On the next page, set the Authentication Mode option to "Use specified username and password". Enter the username, password, and JDBC URL. The JDBC URL begins with jdbc:apachekafka: and is followed by a semicolon-separated list of connection properties.
Set BootstrapServers and the Topic properties to specify the address of your Apache Kafka server, as well as the topic you would like to interact with.
You may be required to trust the server certificate. In such cases, specify the TrustStorePath and the TrustStorePassword if necessary.
For assistance in constructing the JDBC URL, use the connection string designer built into the Kafka JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.apachekafka.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
A typical JDBC URL is below:
jdbc:apachekafka:User=admin;Password=pass;BootStrapServers=https://localhost:9091;Topic=MyTopic;
You can use the JDBC connection to analyze Kafka data in the Information Design Tool.
To publish the universe to the CMS, you additionally need to publish the connection.
You can follow the steps below to create a universe on the JDBC driver. The universe in this example will be published to a repository, so it uses the published connection created in the previous step.
You can follow the steps below to publish the universe to the CMS.
You can use the published universe to connect to Kafka in Web Intelligence.
Download a free trial of the Apache Kafka Driver to get started:
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