Visualize Redshift 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 Amazon Redshift makes it easy to integrate with Redshift data in Sisense. This article shows how to create an ElastiCube that connects to Redshift data and use the ElastiCube to visualize Redshift data in Sisense.

Configure the Connection to Redshift

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 Amazon Redshift 20XX\lib) or copy the jar file (cdata.jdbc.redshift.Redshift.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 Redshift, adding required properties.

   To connect to Redshift, set the following:

   • : Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
   • : Set this to the port of the cluster.
   • : Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
   • : Set this to the username you want to use to authenticate to the Server.
   • : Set this to the password you want to use to authenticate to the Server.

   You can obtain the and values in the AWS Management Console:

   1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
   2. On the Clusters page, click the name of the cluster.
   3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.redshift.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:redshift:User=admin;Password=admin;Database=dev;Server=examplecluster.my.us-west-2.redshift.amazonaws.com;Port=5439;
   

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

Add Redshift Data to an ElastiCube

Once you are connected to Redshift, 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 Redshift Data

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