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

With the Cloud Secure Agent installed and running, you are ready to connect to Postmark 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.api.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 Postmark in Informatica Cloud

After installing the driver JAR file, you are ready to configure your connection to Postmark 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 Postmark 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.api.APIDriver
• JDBC Connection URL: Set this to the JDBC URL for Postmark. Your URL will look similar to the following:
  
  

  jdbc:api:Profile=C:\profiles\Postmark.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your-server-api-token"

  Using API Key Authentication

  Postmark uses server API tokens to authenticate requests. Each Postmark server has its own API token, which controls access to messages, bounces, templates, and statistics associated with that server.

  To obtain your Server API Token, log in to your Postmark account and navigate to the server you want to connect to. Go to API Tokens under the server settings and copy the token labeled Server API token.

  After setting the following connection properties, you are ready to connect:

  • AuthScheme: Set this to APIKey.
  • APIKey: Set this to your Postmark Server API Token. This value is sent as the X-Postmark-Server-Token header on every request.

  Example connection string:

  Profile=C:\profiles\Postmark.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your-server-api-token"
  

  Connecting to Postmark

  Once the authentication is configured, you can connect to Postmark and query data from any of the available tables such as OutboundMessages, Bounces, and Templates.

  Built-In Connection String Designer

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

   java -jar cdata.jdbc.api.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 Postmark does not require a username)
• Password: Set this to a placeholder value (since Postmark does not require a password)

👁 Configuring the Connection (Google Sheets is shown.

Create a Mapping for Postmark Data

With the connection to Postmark configured, we can now access Postmark data in any Informatica process. The steps below walk through creating a mapping for Postmark 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 Postmark 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 Postmark data with any of the supported connections in Informatica Cloud. Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Postmark data in Informatica Cloud today.