Visualize SparkPost Data in Sisense

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

Configure the Connection to SparkPost

Before creating the ElastiCube, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData API Driver for JDBC 20XX\lib) or copy the jar file (cdata.jdbc.api.API.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 SparkPost, adding required properties.

   Start by setting the Profile connection property to the location of the SparkPost Profile on disk (e.g. C:\profiles\SparkPost.apip). Next, set the ProfileSettings connection property to the connection string for SparkPost (see below).

   SparkPost API Profile Settings

   Generate an API key by navigating to Configuration > API Keys > Create API Key in your SparkPost account.

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the SparkPost JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

   java -jar cdata.jdbc.api.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:api:Profile=C:\profiles\SparkPost.apip;ProfileSettings='APIKey=your_api_key';
   

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.api.APIDriver
7. Leave the username and password properties blank.
8. Click Next.

Add SparkPost Data to an ElastiCube

Once you are connected to SparkPost, you can add 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 SparkPost Data

With SparkPost tables added to your ElastiCube, you can perform analytics on your SparkPost 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 API Driver for JDBC, you can access SparkPost data right in Sisense for powerful visualization and analytics. Download a free, 30-day trial and start working with SparkPost data in Sisense today!