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This article shows how you can easily integrate the CData JDBC driver for Google Calendar into your processes in RapidMiner. This article uses the CData JDBC Driver for Google Calendar to transfer Google Calendar data to a process in RapidMiner.
You can follow the procedure below to establish a JDBC connection to Google Calendar:
jdbc:googlecalendar:
cdata.jdbc.googlecalendar.GoogleCalendarDriverπ The JDBC driver configuration. (Salesforce is shown.)
You can connect to Google APIs on behalf of individual users or on behalf of a domain. Google uses the OAuth authentication standard. See the "Getting Started" section of the help documentation for a guide.
For assistance in constructing the JDBC URL, use the connection string designer built into the Google Calendar JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.googlecalendar.jar
Fill in the connection properties and copy the connection string to the clipboard.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)A typical connection string is below:
You can now use your Google Calendar connection with the various RapidMiner operators in your process. To retrieve Google Calendar data, drag the Retrieve operator from the Operators view.
π A Retrieve operation to select data. (Salesforce is shown.)
With the Retrieve operator selected, you can then define which table to retrieve in the Parameters view by clicking the folder icon next to the "repository entry." In the resulting Repository Browser, you can expand your connection node to select the desired example set.
Finally, wire the output to the Retrieve process to a result, and run the process to see the Google Calendar data.
π The results of the Retrieve operation. (Salesforce is shown.)Download a free trial of the Google Calendars Driver to get started:
Download NowLearn more:
π Google Calendars IconAn easy-to-use database-like interface for Java based applications and reporting tools access to live Google Calendars data (Calendars, Events, Attendees, and more).