Before you perform data quality tasks in CLAIRE GPT, ensure that you perform the following tasks:
•Enable the Data Governance and Catalog service for the runtime environment that your organization uses.
•To generate a valid data cleansing code, ensure that your organization administrator configures Python versions 3.0, 3.12, or 3.13 on the machine where the Secure Agent is installed. The Secure Agent must be installed on a Linux machine, and the Python must use the Pandas library in the location where the Python is installed.
To install the Pandas library, run the following command in the $<python_home> location:
bin/pip3 install pandas
To configure Python, your administrator needs to go to Runtime Environment in Administrator, select a Secure Agent, enable the IDMC Data Gateway Service option in the Secure Agent, and set the python_enabled value of the APP_CFG property to true in Custom Configuration. If the administrator configures any version other than 3.0, 3.12, or 3.13 with the Secure Agent, they need to 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 in the Secure Agent, see the Transformation guide in the Data Integration help.
•Verify that you have extracted metadata from the required source systems into the catalog.
•To get rule recommendations for data elements and data sets that don't have associated rules, make sure that you have data quality rule specifications in Data Quality.
•To prevent the data quality agent from generating duplicate rule recommendations and to ensure that it generates rule recommendations only from the rule specifications in Data Quality, go to Administrator, select your user role, select service as Metadata Command Center and enable the Manage IDMC Metadata Settings option under the Features tab.