Data Quality Agent > Data quality agent > Prerequisites
  

Prerequisites

The following table describes the prerequisites for various skills of the data quality agent:
Skills
Prerequisite
All skills
In Administrator, enable the Data Governance and Catalog service for the runtime environment that your organization uses.
Data quality cleanse
The mapplet that CLAIRE GPT generates contains a Python transformation. To use the mapplet in a mapping, verify that Python is installed on the Secure Agent machine.
As an organization administrator, install Python on the machine where you installed the Secure Agent. Verify that the Python installation directory includes the Pandas and PyArrow libraries.
To configure Python, perform the following tasks:
  1. 1In Administrator, go to Runtime Environment.
  2. 2Select a Secure Agent and enable the IDMC Data Gateway Service option.
  3. 3In Custom Configuration, set the python_enabled value of the APP_CFG property to true.
If you configure a version of Python that is different from the one that Informatica includes in the Secure Agent installation, specify the idmc_dgs_pythonHome parameter value as <INFA_HOME>/ext/python/bin/<python_executable>.
For more information about how to install and configure Python on a Secure Agent machine, see Transformations in the Data Integration help. For more information about mappings, see Mappings in the Data Integration help.
Data quality rule recommendation, data quality rule generation
Enable IDMC metadata in Metadata Command Center. This configuration prevents the data quality agent from generating duplicate rules and rule recommendations. The configuration also ensures that the data quality agent generates rule recommendations only from the rule specifications in Data Quality.
For more information about how you can enable IDMC metadata in Metadata Command Center, see the Administration help in Metadata Command Center.