Integrate SAS Data Sets Data in Your Informatica Cloud Instance

Informatica Cloud allows you to perform extract, transform, and load (ETL) tasks in the cloud. With the Cloud Secure Agent and the CData JDBC Driver for SAS Data Sets, you get live access to SAS Data Sets data, directly within Informatica Cloud. In this article, we will walk through downloading and registering the Cloud Secure Agent, connecting to SAS Data Sets through the JDBC Driver and generating a mapping that can be used in any Informatica Cloud process.

Informatica Cloud Secure Agent

To work with the SAS Data Sets data through the JDBC Driver, install the Cloud Secure Agent.

1. Navigate to the Administrator page in Informatica Cloud 👁 Image
   
2. Select the Runtime Environments tab
3. Click "Download Secure Agent" 👁 Image
   
4. Make note of the Install Token 👁 Image
   
5. Run the installer on the client machine and register the Cloud Secure Agent with your username and install token 👁 Image
   

NOTE: It may take some time for all of the Cloud Secure Agent services to get up and running.

Connecting to the SAS Data Sets JDBC Driver

With the Cloud Secure Agent installed and running, you are ready to connect to SAS Data Sets through the JDBC Driver.

Adding the JDBC Driver to the Secure Agent Machine

1. Navigate to the following directory on the Secure Agent machine:

   %Secure Agent installation directory%/ext/connectors/thirdparty/

2. Create a folder and add the driver JAR file (cdata.jdbc.sasdatasets.jar) based on the type of mapping that you want to configure.

   For mappings, create the following folder and add the driver JAR file:

   informatica.jdbc_v2/common

   For mappings in advanced mode, also create the following folder and add the driver JAR file:

   informatica.jdbc_v2/spark

3. Restart the Secure Agent.

Connecting to SAS Data Sets in Informatica Cloud

After installing the driver JAR file, you are ready to configure your connection to SAS Data Sets in Informatica Cloud. Start by clicking the Connections tab and clicking New Connection. Fill in the following properties for the connection:

• Connection Name: Name your connection (i.e.: CData SAS Data Sets Connection)
• Type: Select "JDBC_V2"
• Runtime Environment: Select the runtime environment where you installed the Secure Agent
• JDBC Driver Class Name: The name of the JDBC driver class: cdata.jdbc.sasdatasets.SASDataSetsDriver
• JDBC Connection URL: Set this to the JDBC URL for SAS Data Sets. Your URL will look similar to the following:
  
  

  jdbc:sasdatasets:URI=C:/myfolder;

  Set the following connection properties to connect to your SAS DataSet files:

  Connecting to Local Files

  • Set the Connection Type to "Local." Local files support SELECT, INSERT, and DELETE commands.
  • Set the URI to a folder containing SAS files, e.g. C:\PATH\TO\FOLDER\.

  Connecting to Cloud-Hosted SAS DataSet Files

  While the driver is capable of pulling data from SAS DataSet files hosted on a variety of cloud data stores, INSERT, UPDATE, and DELETE are not supported outside of local files in this driver.

  Set the Connection Type to the service hosting your SAS DataSet files. A unique prefix at the beginning of the URI connection property is used to identify the cloud data store and the remainder of the path is a relative path to the desired folder (one table per file) or single file (a single table). For more information, refer to the Getting Started section of the Help documentation.

  Built-In Connection String Designer

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

   java -jar cdata.jdbc.sasdatasets.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 (Google Sheets is shown.)
  
• Username: Set this to a placeholder value (since SAS Data Sets does not require a username)
• Password: Set this to a placeholder value (since SAS Data Sets does not require a password)

👁 Configuring the Connection (Google Sheets is shown.

Create a Mapping for SAS Data Sets Data

With the connection to SAS Data Sets configured, we can now access SAS Data Sets data in any Informatica process. The steps below walk through creating a mapping for SAS Data Sets to another data target.

1. Navigate to the Data Integration page 👁 Image
   
2. Click New.. and select Mapping from the Mappings tab 👁 Image
   
3. Click the Source Object and in the Source tab, select the Connection and set the Source Type 👁 Selecting the Source Connection and Source Type
   
4. Click "Select" to choose the table to map 👁 Selecting the Source Object
   
5. In the Fields tab, select the fields from the SAS Data Sets table to map 👁 Selecting Source Fields to map
   
6. Click the Target object and configure the Target source, table and fields. In the Field Mapping tab, map the source fields to the target fields. 👁 Selecting the Target Field Mappings
   

With the mapping configured, you are ready to start integrating live SAS Data Sets data with any of the supported connections in Informatica Cloud. Download a free, 30-day trial of the CData JDBC Driver for SAS Data Sets and start working with your live SAS Data Sets data in Informatica Cloud today.