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  1. Abstract
  2. Supported Versions
  3. Performance Tuning and Sizing Guidelines for Informatica® Big Data Management 10.2.2

Performance Tuning and Sizing Guidelines for Informatica® Big Data Management 10.2.2

Performance Tuning and Sizing Guidelines for Informatica® Big Data Management 10.2.2

Deployment Criteria

Deployment Criteria

The following criteria determine the Big Data Management deployment type:
Number of active users
Number of users working on the Model repository at design time, using the Analyst tool, or running Big Data Management jobs in the native or Hadoop run-time environment at any given point of time.
Number of concurrent pushdown mappings
Total number of mappings running on the Blaze, Spark, or Hive engines that are concurrently submitted to the Data Integration Service.
Number of objects in the Model repository
Total number of design-time and run-time objects in the Model repository. For example, data objects, mappings, workflows, and applications.
Number of deployed applications
Total number of applications deployed across all the Data Integration Services in the Informatica domain.
Number of objects per application
Total number of objects of all types that are deployed as part of a single application.
Total operational data volume
Total volume of data being processed in the Hadoop environment at any given point of time.
Total number of data nodes
Total number of data nodes in the Hadoop cluster.
yarn.nodemanager.resource.cpu-vcores
A property in the yarn-site.xml on the Hadoop cluster that specifies the number of virtual cores for containers.
yarn.nodemanager.resource.memory-mb
A property in the yarn-site.xml on the Hadoop cluster that specifies the maximum physical memory available for containers.

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