Deploying Data Engineering Integration on AWS Marketplace
Deploying
Data Engineering Integration
on AWS Marketplace
The automated deployment of
Data Engineering Integration
on AWS Marketplace uses the AWS CloudFormation console to guide your choices and launch the solution deployment.
You can select one of the following deployment options:
Deploy
Data Engineering Integration
into a new VPC (end-to-end deployment). This option builds and deploys a new AWS environment. The environment that it builds consists of the VPC, subnets, NAT gateways, security groups, and other infrastructure components, and then deploys
Data Engineering Integration
into this new VPC.
Deploy
Data Engineering Integration
into an existing VPC. This option provisions
Data Engineering Integration
in your existing AWS infrastructure.
The deployment also lets you configure additional settings such as CIDR blocks, instance types, and
Data Engineering Integration
settings, as discussed later in this guide.
Use the AWS CloudFormation console to specify the stack name and to enter parameter values to the template that you use to deploy the application. A stack is a logical representation of an AWS deployment.
Specify the identifiers for the VPC, for the subnet that contains the Amazon EC2 instances where the deployment process deploys the application components, and for the subnet where the deployment process creates the Model repository. The deployment process provisions the application components and creates the Model repository based on the values that you specify.
Availability Zones and Subnets
The automated solution deploys the components and services for
Data Engineering Integration
into an Amazon VPC configured across two Availability Zones. Each Availability Zone is provisioned with two subnets.
In the first subnet, the deployment process provisions
Data Engineering Integration
application services on an Amazon EC2 instance within the VPC:
In the second subnet, the solution deploys an Oracle database on Amazon RDS for use as the Model repository. The Model repository stores metadata created by Informatica services.