Visualize Mistral AI 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 Mistral AI data in Sisense. This article shows how to create an ElastiCube that connects to Mistral AI data and use the ElastiCube to visualize Mistral AI data in Sisense.

Configure the Connection to Mistral AI

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 Mistral AI, adding required properties.

   The MistralAI API uses API key authentication.

   Using API Key Authentication

   Your MistralAI API Key is required to create a connection to MistralAI. API Keys can be obtained from your MistralAI account at console.mistral.ai by navigating to the API Keys section. Once you have obtained the API key, set it in the ProfileSettings connection property.

   Example Connection string

   Profile=C:\profiles\MistralAI.apip;ProfileSettings='APIKey=my_api_key;';AuthScheme=APIKey;
   

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the Mistral AI 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\MistralAI.apip;ProfileSettings='APIKey=my_api_key;';AuthScheme=APIKey;
   

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 Mistral AI Data to an ElastiCube

Once you are connected to Mistral AI, 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 Mistral AI Data

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