Integrate Sage 300 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 Sage 300, you get live access to Sage 300 data, directly within Informatica Cloud. In this article, we will walk through downloading and registering the Cloud Secure Agent, connecting to Sage 300 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 Sage 300 data through the JDBC Driver, install the Cloud Secure Agent.

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

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

Connecting to the Sage 300 JDBC Driver

With the Cloud Secure Agent installed and running, you are ready to connect to Sage 300 through the JDBC Driver. 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 Sage 300 Connection)
• Type: Select "JDBC_IC (Informatica Cloud)"
• Runtime Environment: Select the runtime environment where you installed the Cloud Secure Agent
• JDBC Connection URL: Set this to the JDBC URL for Sage 300. Your URL will look similar to the following:
  
  jdbc:sage300:User=SAMPLE;Password=password;URL=http://127.0.0.1/Sage300WebApi/v1/-/;Company=SAMINC;

  Sage 300 requires some initial setup in order to communicate over the Sage 300 Web API.

  • Set up the security groups for the Sage 300 user. Give the Sage 300 user access to the option under Security Groups (per each module required).
  • Edit both web.config files in the /Online/Web and /Online/WebApi folders; change the key AllowWebApiAccessForAdmin to true. Restart the webAPI app-pool for the settings to take.
  • Once the user access is configured, click https://server/Sage300WebApi/ to ensure access to the web API.

  Authenticate to Sage 300 using Basic authentication.

  Connect Using Basic Authentication

  You must provide values for the following properties to successfully authenticate to Sage 300. Note that the provider reuses the session opened by Sage 300 using cookies. This means that your credentials are used only on the first request to open the session. After that, cookies returned from Sage 300 are used for authentication.

  • Url: Set this to the url of the server hosting Sage 300. Construct a URL for the Sage 300 Web API as follows: {protocol}://{host-application-path}/v{version}/{tenant}/ For example, http://localhost/Sage300WebApi/v1.0/-/.
  • User: Set this to the username of your account.
  • Password: Set this to the password of your account.

  Built-In Connection String Designer

  For assistance in constructing the JDBC URL, use the connection string designer built into the Sage 300 JDBC Driver. Either double-click the .jar file or execute the .jar file from the command-line.

  java -jar cdata.jdbc.sage300.jar

  Fill in the connection properties and copy the connection string to the clipboard.

• JDBC Jar Directory: Set this to the lib folder in the installation location for the JDBC Driver (on Windows, typically C:\Program Files\CData[product_name]\)
• Driver Class: Set this to cdata.jdbc.sage300.Sage300Driver
• Username: Set this to the username for Sage 300
• Password: Set this to the password for Sage 300

Create a Mapping for Sage 300 Data

With the connection to Sage 300 configured, we can now access Sage 300 data in any Informatica process. The steps below walk through creating a mapping for Sage 300 to another data target.

1. Navigate to the Data Integration page
2. Click New.. and select Mapping from the Mappings tab
3. Click the Source Object and in the Source tab, select the Connection and set the Source Type
4. Click "Select" to choose the table to map
5. In the Fields tab, select the fields from the Sage 300 table 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.

With the mapping configured, you are ready to start integrating live Sage 300 data with any of the supported connections in Informatica Cloud. Download a free, 30-day trial of the CData JDBC Driver for Sage 300 and start working with your live Sage 300 data in Informatica Cloud today.