Visualize SQL Server Data in Sisense

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

Configure the Connection to SQL Server

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 SQL Server 20XX\lib) or copy the jar file (cdata.jdbc.sql.SQL.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. 👁 Connecting via JDBC
   
4. Set the connection string property to the JDBC URL for SQL Server, adding required properties.

   Connecting to Microsoft SQL Server

   Connect to Microsoft SQL Server using the following properties:

   • Server: The name of the server running SQL Server.
   • User: The username provided for authentication with SQL Server.
   • Password: The password associated with the authenticating user.
   • Database: The name of the SQL Server database.

   Connecting to Azure SQL Server and Azure Data Warehouse

   You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

   • Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
   • User: The name of the user authenticating to Azure.
   • Password: The password associated with the authenticating user.
   • Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.

   SSH Connectivity for SQL Server

   You can use SSH (Secure Shell) to authenticate with SQL Server, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

   SSH Connections to SQL Server in Password Auth Mode

   To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

   • User: SQL Server User name
   • Password: SQL Server Password
   • Database: SQL Server database name
   • Server: SQL Server Server name
   • Port: SQL Server port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Password"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHPassword: SSH Password

   SSH Connections to SQL Server in Public Key Auth Mode

   To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

   • User: SQL Server User name
   • Password: SQL Server Password
   • Database: SQL Server database name
   • Server: SQL Server Server name
   • Port: SQL Server port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Public_Key"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHClientCret: the path for the public key certificate file

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.sql.jar
   

   Fill in the connection properties and copy the connection string to the clipboard.

   👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
   

   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:sql:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=1433;
   

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.sql.SQLDriver
7. Leave the username and password properties blank.
8. Click Next. 👁 A configured connection in Sisense (HubSpot is shown).
   

Add SQL Server Data to an ElastiCube

Once you are connected to SQL Server, 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. 👁 Selected tables to add to the ElastiCube
   
4. Click Build to build the ElastiCube for analytics.

Visualize SQL Server Data

With SQL Server tables added to your ElastiCube, you can perform analytics on your SQL Server 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 👁 Selecting the newly created ElastiCube
   
4. Click "+ Select Data" and choose fields to add to your visualization. 👁 Visualizing data in Sisense (HubSpot is shown).
   

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