Table of Contents

Search

  1. Abstract
  2. Supported Versions
  3. Implementing Informatica® Big Data Management 10.2 in an Amazon Cloud Environment

Implementing Informatica® Big Data Management 10.2 in an Amazon Cloud Environment

Implementing Informatica® Big Data Management 10.2 in an Amazon Cloud Environment

Deploying Big Data Management on Amazon EMR through the Amazon Marketplace

Deploying Big Data Management on Amazon EMR through the Amazon Marketplace

Informatica and Amazon AWS enable a completely automated deployment of Big Data Management on Amazon EMR cluster through the Amazon Marketplace.
The default one-click deployment consists of a minimum recommended EC2 instance type using the m3.xlarge model to provide a balance of compute, memory, and network resources required for Big Data Management services and the Amazon EMR cluster. You can choose other M3 instance types or C3 Compute-optimized instances for high performing processing. You can choose any number of core nodes for the Amazon EMR cluster.
One-click deployment provisions the nodes with the latest Big Data Management software. The automated process assigns the correct number of Big Data Management domain and Amazon EMR nodes and installs and configures Big Data Management on an Amazon EC2 instance during the provision of cluster nodes. The deployment automatically creates the Informatica domain, the Model Repository Service, and the Data Integration service, and assigns the connection to the Amazon EMR cluster for HDFS and Hive. It provisions the Amazon EMR cluster with HDFS and EMRFS for storage, YARN for processing, and Hive and Spark run-time engines.
The Informatica domain and repository database are hosted on Amazon RDS using MS SQL Server, which handles management tasks such as backups, patch management, and replication. To control and configure Informatica services, you use the browser-based Administrator tool, which accesses the domain instance. To configure and run mappings, you use the Developer tool client on a Windows machine.

0 COMMENTS

We’d like to hear from you!