Visualize Google Calendar Data in Sisense

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Google Calendars JDBC Driver

An easy-to-use database-like interface for Java based applications and reporting tools access to live Google Calendars data (Calendars, Events, Attendees, and more).



Create an ElastiCube in Sisense app with access to Google Calendar data.

Sisense lets you join, analyze, and picture data to make more intelligent business decisions and craft effective strategies. The CData JDBC Driver for Google Calendar makes it easy to integrate with Google Calendar data in Sisense. This article shows how to create an ElastiCube that connects to Google Calendar data and use the ElastiCube to visualize Google Calendar data in Sisense.

Configure the Connection to Google Calendar

Before creating the ElastiCube, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for Google Calendar 20XX\lib) or copy the jar file (cdata.jdbc.googlecalendar.GoogleCalendar.jar) to a new folder in the Sisense JDBC driver directory (typically C:\ProgramData\Sisense\DataConnectors\jdbcdrivers).

  1. In the Data page of the Sisense application, create a new ElastiCube (or open an existing one).
  2. In the Model Editor, click "+ Data" to open the Add Data dialog box.
  3. Click Generic JDBC to open the JDBC settings.
  4. Set the connection string property to the JDBC URL for Google Calendar, adding required properties.

    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.

    Built-in Connection String Designer

    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.

    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 example follows:

    jdbc:googlecalendar:InitiateOAuth=REFRESH
  5. Set the JDBC JARs folder property to the location of the CData JDBC Driver JAR file (see above).
  6. Set the driver's class name to the class name for the JDBC Driver: cdata.jdbc.googlecalendar.GoogleCalendarDriver
  7. Leave the username and password properties blank.
  8. Click Next.

Add Google Calendar Data to an ElastiCube

Once you are connected to Google Calendar, you can add tables and views to your ElastiCubes.

  1. From the Tables list, select the tables and/or views you wish to work with.
  2. (Optional) Click "+" to customize the data you want to import with SQL.
  3. Click Done.
  4. Click Build to build the ElastiCube for analytics.

Visualize Google Calendar Data

With Google Calendar tables added to your ElastiCube, you can perform analytics on your Google Calendar data.

  1. Navigate to the Analytics page of the Sisense application
  2. Select a Dashboard (or create a new one)
  3. Select your Data Source and click Create
  4. Click "+ Select Data" and choose fields to add to your visualization.

With the CData JDBC Driver for Google Calendar, you can access Google Calendar data right in Sisense for powerful visualization and analytics. Download a free, 30-day trial and start working with Google Calendar data in Sisense today!