Analyze Live SAS xpt Data in SAS Viya

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 AI, you get instant, cloud-to-cloud access to SAS xpt data for building predictive models, crafting stunning insights to make data-driven decisions, and more. This article shows how to connect to Connect AI from the SAS Viya cloud platform and integrate live SAS xpt data into your self-service AI and analytics deployments.

CData Connect AI provides a pure SQL, cloud-to-cloud interface for SAS xpt, allowing you to easily integrate with live SAS xpt data in SAS Viya — without replicating the data. CData Connect AI 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 SAS xpt, leveraging server-side processing to return SAS xpt data quickly.

Configure SAS xpt Connectivity for SAS Viya

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

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "SAS xpt" from the Add Connection panel

3. Enter the necessary authentication properties to connect to SAS xpt.

   Connecting to Local SASXpt Files

   You can connect to local SASXpt file by setting the URI to a folder containing SASXpt files.

   Connecting to S3 data source

   You can connect to Amazon S3 source to read SASXpt files. Set the following properties to connect:

   • URI: Set this to the folder within your bucket that you would like to connect to.
   • AWSAccessKey: Set this to your AWS account access key.
   • AWSSecretKey: Set this to your AWS account secret key.
   • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

   Connecting to Azure Data Lake Storage Gen2

   You can connect to ADLS Gen2 to read SASXpt files. Set the following properties to connect:

   • URI: Set this to the name of the file system and the name of the folder which contacts your SASXpt files.
   • AzureAccount: Set this to the name of the Azure Data Lake storage account.
   • AzureAccessKey: Set this to our Azure DataLakeStore Gen 2 storage account access key.
   • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add SAS xpt Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the 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 and a PAT generated, you are ready to connect to SAS xpt data from SAS Viya.

Connecting to CData Connect AI from SAS Viya

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

1. Download and install the CData Connect AI JDBC driver.
   • Open the Integrations page of CData Connect AI.
   • Search for and select JDBC.
   • Download and run the setup file.
   • When the installation is complete, the JAR file can be found in the installation directory (inside the lib folder).
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 AI 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=[PAT]"; 
     
    proc sql; 
    
    SELECT * FROM [Libref].MyTable; 
    
    quit; 
    

13. Click on Run. You can see the data load from CData Connect AI into SAS Viya.

Live Access to SAS xpt Data from Cloud Applications

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

Try Connect AI and get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications.