Analyze Live PayPal 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 Cloud, you get instant, cloud-to-cloud access to PayPal 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 PayPal data into your self-service AI and analytics deployments.

CData Connect Cloud provides a pure SQL, cloud-to-cloud interface for PayPal, allowing you to easily integrate with live PayPal 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 PayPal, leveraging server-side processing to return PayPal data quickly.

Configure PayPal Connectivity for SAS Viya

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

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

   The provider surfaces tables from two PayPal APIs. The APIs use different authentication methods.

   • The REST API uses the OAuth standard. To authenticate to the REST API, you will need to set the OAuthClientId, OAuthClientSecret, and CallbackURL properties.
   • The Classic API requires Signature API credentials. To authenticate to the Classic API, you will need to obtain an API username, password, and signature.

   See the "Getting Started" chapter of the help documentation for a guide to obtaining the necessary API credentials.

   To select the API you want to work with, you can set the Schema property to REST or SOAP. By default the SOAP schema will be used.

   For testing purposes you can set UseSandbox to true and use sandbox credentials.

4. Click Create & Test
5. Navigate to the Permissions tab in the Add PayPal 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 PayPal data from SAS Viya.

Connecting to CData Connect Cloud from SAS Viya

The following steps detail the process of loading data from PayPal 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, test@cdata.com.
    • 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 PayPal Data from Cloud Applications

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

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