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Analyze Live Redshift Data in SAS Viya



Use CData Connect Cloud to connect to Redshift data from SAS Viya and deploy self-service analytics using live Redshift data.

SAS Viya is an analytics platform that enhances data management, machine learning, and analytics, fostering efficient decision-making and insights. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to Redshift data for building predictive models, crafting stunning insights to make data-driven decisions, and more. This article shows how to connect to Connect Cloud from the SAS Viya cloud platform and integrate live Redshift data into your self-service AI and analytics deployments.

CData Connect Cloud provides a pure SQL, cloud-to-cloud interface for Redshift, allowing you to easily integrate with live Redshift data in SAS Viya — without replicating the data. CData Connect Cloud looks exactly like a SQL Server database to SAS Viya and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc.) directly to Redshift, leveraging server-side processing to return Redshift data quickly.

Configure Redshift Connectivity for SAS Viya

Connectivity to Redshift from SAS Viya is made possible through CData Connect Cloud. To work with Redshift data from SAS Viya, we start by creating and configuring a Redshift connection.

  1. Log into Connect Cloud, click Connections and click Add Connection.
  2. Select "Redshift" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Redshift.

    To connect to Redshift, set the following:

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

    You can obtain the Server and Port 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.
  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add Redshift Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

  1. Click on your username at the top right of the Connect Cloud app and click User Profile.
  2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
  3. Give your PAT a name and click Create.
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured, you are ready to connect to Redshift data from SAS Viya.

Connecting to CData Connect Cloud from SAS Viya

The following steps detail the process of loading data from Redshift into SAS Viya using the established connection in CData Connect Cloud.

  1. Download and install the CData Connect Cloud JDBC driver from the Client Tools section.
  2. Now, log in to SAS Viya and navigate to the Applications Menu at the top-left corner.
  3. Select Develop Code and Flows from the Analytics Life Cycle topic.
  4. Navigate to the Explorer tab and click on SAS Server on the left panel.
  5. Follow the steps to upload the JAR file of the CData Connect JDBC driver:
    • Right-click on the "Home" directory.
    • Click on Upload files.
    • Place the JAR file in the specified location and note its file path.
  6. Once done, navigate to the Libraries tab and click on Create a new library connection (on the top left corner as shown below) for the CData Connect JDBC.
  7. Enter the library connection settings:
    • Connection name: enter a name for your connection
    • Library name (libref): enter a reference for your library
    • Library type: choose "SAS/ACCESS to JDBC"
  8. Click on the Properties tab and set Library attributes to READONLY.
  9. Click the Connection Options tab and enter the following details:
    • Hive JDBC driver's class name: cdata.jdbc.connect.ConnectDriver
    • Java CLASSPATH: enter the file path to the JAR driver file (Refer to Step 5)
  10. Click on Test connection. If it succeeds, click on Save and connect.
  11. Click on to add a new tab and select SAS program.
  12. Fill in the code block below with your setup parameters:
    • Libref: enter the library reference you defined in Step 9.
    • ClassPath: enter the file path to the JAR driver file.
    • Username: enter your CData Connect username. This is displayed in the top-right corner of the CData Connect interface. For example, [email protected].
    • DefaultCatalog: enter the connection configured in CData Connect Cloud that you want to query.
    • Password: enter the PAT you generated in the "Add a Personal Access Token" section.
    libname [Libref] JDBC classpath=[ClassPath] class="cdata.jdbc.connect.ConnectDriver" URL="jdbc:Connect:AuthScheme=Basic;User=[Username];DefaultCatalog=[DefaultCatalog];DefaultSchema=dbo;Password=[Password]"; proc sql; SELECT * FROM [Libref].MyTable; quit;
  13. Click on Run. You can see the data load from CData Connect Cloud into SAS Viya.

Live Access to Redshift Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Redshift data from SAS Viya. You can build predictive models, craft insights to make data-driven decisions, and more — all without replicating Redshift data.

Try Connect Cloud and get real-time data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications.