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

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

• Connection Name: Name your connection (i.e.: CData Redshift 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.redshift.RedshiftDriver
• JDBC Connection URL: Set this to the JDBC URL for Redshift. Your URL will look similar to the following:
  
  jdbc:redshift:User=admin;Password=admin;Database=dev;Server=examplecluster.my.us-west-2.redshift.amazonaws.com;Port=5439;

  To connect to Redshift, set the following:

  • Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
  • Port: Set this to the port of the cluster.
  • Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
  • User: Set this to the username you want to use to authenticate to the Server.
  • Password: Set this to the password you want to use to authenticate to the Server.

  You can obtain the Server and Port values in the AWS Management Console:

  1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
  2. On the Clusters page, click the name of the cluster.
  3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.

  Built-In Connection String Designer

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

  java -jar cdata.jdbc.redshift.jar

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

• Username: Set this to the username for Redshift
• Password: Set this to the password for Redshift

Create a Mapping for Redshift Data

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