Deploy the Informatica® Data Engineering Integration Solution on the Microsoft Azure Marketplace (10.4.1)

Deploy the Informatica® Data Engineering Integration Solution on the Microsoft Azure Marketplace (10.4.1)

Step 2. Deploy a Domain and Configure Azure Resources

Step 2. Deploy a Domain and Configure Azure Resources

Create an Informatica domain and configure new or existing Azure resources to use with it.

Basics

Enter values for the following parameters:
Parameter
Description
Subscription
Required. Azure subscription you use to manage the deployment.
Resource Group
Required. The Azure resource group containing the Virtual Network where you deploy
Data Engineering Integration
.
Region
Required. Azure location where you deploy
Data Engineering Integration
.

Informatica
Data Engineering Integration

Enter values for the following parameters:
Parameter
Description
Informatica License Key
Required. Redirects you to the list of storage account under your subscription. Select the container that has the license file for upload.
Informatica High Availability
Indicates whether you want to enable high availability for the
Data Engineering Integration
deployment.
Default is Disabled.
For information about high availability for the Informatica domain, see the High Availability documentation.
Informatica Server
Required. Indicates the virtual machine size of the Informatica server.
Database Server
Required. Indicates the virtual machine size of the database server.
Password
Indicates the password for SSH, RDP, database, and database users.
Confirm Password
Confirms the password that you entered.

Bastion Server

Enter values for the following parameters:
Parameter
Description
Deploy Bastion Server
Deploys a bastion server to access other resources in the virtual network.
Default is No.
Bastion server size
Virtual machine size. Applicable only when you choose to deploy the bastion server.
Default is Standard_D2_v2.

Databricks Configuration

Enter values for the following parameters:
Parameter
Description
Options
Choose how to integrate the solution. Choose from the following options:
  • Existing
  • Autodeploy
  • Skip
Default is Skip.
Depending on your choice of an existing or autodeployed Databricks cluster, enter values for an existing or autodeploy configuration.

Existing Configuration

To use an existing Databricks configuration, enter values for the following parameters:
Parameter
Description
Cluster ID
Required. Cluster ID of the existing Databricks cluster.
Token ID
Required. Databricks token ID. Required for authentication.
Domain URL
Required. URL for Databricks workspace access.
Use domain URL without
https://
.

Autodeploy Configuration

You can use a cluster workflow to create an ephemeral cluster to run jobs. An ephemeral cluster is also called an auto-deployed cluster. For more information about cluster workflows, see the Informatica documentation.
To use an autodeployed Databricks cluster, enter values for the following parameters:
Parameter
Description
Token ID
Required. Databricks token ID. Required for authentication.
Domain URL
Required. URL for Databricks workspace access.
Use domain URL without
https://
.

Network Configuration

Enter values for the following parameters:
Parameter
Description
CIDR IP Address Range
Required. The CIDR public IP range of clients that are permitted to access the Informatica
Data Engineering Integration
. Format is x.x.x.x/x.
Assign Public IP
Assigns a public IP address to the network interface that is attached to the virtual machine.
Default is Yes.
Virtual Network
Required. The identifier for the Azure virtual network where you want to deploy
Data Engineering Integration
.
The deployment supports new and existing virtual networks. The Azure location must be same for the virtual network resource group and the deployment resource group.
Subnet
Required. The identifier for the subnet within the virtual network where
Data Engineering Integration
is deployed.
After you configure the parameters, verify the choices in
Review + create
, read the terms of use, and click
Create
.
When you click
Create,
Azure deploys the
Data Engineering Integration
and creates resources in the environment that you configured.

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