Visualize data from Azure Data Explorer in Sisense

Sisense is an analytics business intelligence platform that enables you to build analytics apps that deliver highly interactive user experiences. The business intelligence and dashboard reporting software allows you to access and combine data in a few clicks. You can connect to structured and unstructured data sources, join tables from multiple sources with minimal scripting and coding, and create interactive web dashboards and reports. In this article, you learn how to set up Azure Data Explorer as a data source for Sisense, and visualize data from a sample cluster.


You need the following to complete this article:

Connect to Sisense dashboards using Azure Data Explorer JDBC connector

  1. Download and copy the latest versions of the following jar files to ..\Sisense\DataConnectors\jdbcdrivers\adx

    • activation-1.1.jar
    • adal4j-1.6.0.jar
    • commons-codec-1.10.jar
    • commons-collections4-4.1.jar
    • commons-lang3-3.5.jar
    • gson-2.8.0.jar
    • jcip-annotations-1.0-1.jar
    • json-smart-1.3.1.jar
    • lang-tag-1.4.4.jar
    • mail-1.4.7.jar
    • mssql-jdbc-7.2.1.jre8.jar
    • nimbus-jose-jwt-7.0.1.jar
    • oauth2-oidc-sdk-5.24.1.jar
    • slf4j-api-1.7.21.jar
  2. Open Sisense app.

  3. Select Data tab and select +ElastiCube to create a new ElastiCube model.

    Select ElastiCube.

  4. In Add new ElastiCube Model, name the ElastiCube model and Save.

    Add new ElastiCube model.

  5. Select + Data.

    Select data button.

  6. In Select Connector tab, select Generic JDBC connector.

    Choose JDBC connector.

  7. In the Connect tab, complete the following fields for the Generic JDBC connector and select Next.

    JDBC connector settings.

    Field Description
    Connection String jdbc:sqlserver://<cluster_name.region>;database=<database_name>;encrypt=true;trustServerCertificate=false;hostNameInCertificate=*;loginTimeout=30;authentication=ActiveDirectoryPassword
    JDBC JARs folder ..\Sisense\DataConnectors\jdbcdrivers\adx
    Driver's Class Name
    User Name Microsoft Entra user name
    Password Microsoft Entra user password
  8. In the Select Data tab, search Select Database to select the relevant database to which you have permissions. In this example, select test1.

    select database.

  9. In test (database name) pane:

    1. Select the table name to preview the table and see the table column names. You can remove unnecessary columns.
    2. Select the check box of the relevant table to select that table.
    3. Select Done.

    select table.

  10. Select Build to build your dataset.

    • In the Build window, select Build.

      Build window.

    • Wait until build process is complete and then select Build Succeeded.

      Build succeeded.

Create Sisense dashboards

  1. In Analytics tab, select + > New Dashboard to create dashboards on this dataset.

    New dashboard.

  2. Pick a dashboard and select Create.

    Create dashboard.

  3. Under New Widget, select + Select Data to create a new widget.

    Add fields to StormEvents dashboard.

  4. Select + Add More Data to add additional columns to your graph.

    Add more data to graph.

  5. Select + Widget to create another widget. Drag and drop widgets to rearrange your dashboard.

    Storm dashboard.

You can now explore your data with visual analytics, build additional dashboards, and transform data into actionable insights to make an impact on your business.