After Metadata Command Center runs a job, you can view the results in Data Governance and Catalog where the catalog source and its elements are called technical assets. You can view a catalog source as a hierarchy. Expand each technical asset to see its components.
When referenced source systems are connected to a catalog source, you can expand the hierarchy to see details about the technical asset's component elements.
You can view the data lineage of an asset contained within a catalog source to see individual elements such as data sources, calculations, and filters. When you view data lineage, you can see the individual upstream elements that contribute data or expressions to each component of a data flow or catalog source.
View metadata extraction results
After a job runs in Metadata Command Center, view the results in Data Governance and Catalog. You can view details about source system contents in a hierarchical structure and trace data lineage.
1Log in to Informatica Intelligent Cloud Services.
The My Services page appears.
2Click Data Governance and Catalog.
The following image shows the Data Governance and Catalog box on the My Services page:
3On the Data Governance and Catalog home page, click the number in the Technical Assets panel.
The Technical Assets page opens.
4Select Catalog Source in the Filter list.
The list of catalog sources opens.
5Search for the catalog source from which you extracted metadata, and click the name.
The Overview tab of the asset opens.
The following image shows a sample Amazon Redshift catalog source asset page:
6View the asset from different perspectives by clicking on the tabs.
For more information about working with assets, see Working with Assets in Data Governance and Catalog help.
View data lineage
Data lineage views are available for technical assets in the catalog source. You can view lineage at the source, target, data set, or data element level.
Data lineage is a visual representation of the flow of data across the systems in your organization. Lineage depicts how the data flows from the system of its origin to the system of its destination.
View source lineage
The lineage diagram at the source or target level shows how data assets refer to and use sources.
To view data lineage at the source or target level, search for and open a technical asset, and then click the Lineage tab.
The following image shows how the order_details_view target view of the Amazon Redshift source system gets data from the order_items, orders, products, and users source tables of the Amazon Redshift source system using the order_details_view model instance of the dbt source system after connection assignment:
View lineage at data set level and data element level
The lineage at the data set level and the data element level shows how other technical assets such as files or tables contribute to the selected asset.
Data sets are technical assets that contain sets of data. Data elements are objects downstream of a data set, and are accessible when you expand a data set to the data element level.
View lineage at the data set level
The data set level displays individual sets of data in the data flow.
To view lineage at the data set level, open a technical asset, click the Lineage tab, and then verify that the level is set to Data Set Level.
The following image shows data set level lineage where the order_details_view target reference data set gets data from the order_items, orders, products, and users source reference data sets using the order_details_view model instance before connection assignment:
The following image shows data set level lineage where the order_details_view target view gets data from the order_items, orders, products, and users source tables using the order_details_view model instance after connection assignment:
After connection assignment, the referenced object icons change to specific object icons.
View lineage at the data element level
The data element level displays details of the data set level. At the data element level, you can see the input sources for expressions or commands and calculations or transformations on the data.
To view data lineage at the data element level, open a technical asset, click the Lineage tab, and then verify that the level is set to Data Element Level.
The following image shows data element level lineage where the username reference data element of the order_details_view reference data set gets data from the username reference data element of the users reference data set using the username calculation of the order_details_view model instance before connection assignment:
The following image shows data element level lineage where the username view column of the order_details_view view gets data from the username column of the users table using the username calculation of the order_details_view model instance after connection assignment:
After connection assignment, the referenced object icons change to specific object icons.
View data profiling results
When you enable the data profiling task for a catalog source in Metadata Command Center, the system runs a profile to evaluate the quality of the metadata extracted from the source system. The profiling statistics appear in Data Governance and Catalog when you open the technical assets.
The scope of profiling statistics that Data Governance and Catalog displays depends on the data profiling configuration parameters that you set when you configured the catalog source in Metadata Command Center.
The following image shows the data profiling statistics that appear on a column asset page in Data Governance and Catalog:
For more information about data profiling results, see Asset Details in the Data Governance and Catalog help.
View data observability results
When you enable data observability for a catalog source in Metadata Command Center, you can view and evaluate the events that it generates in Data Governance and Catalog. These events indicate anomalies identified in the characteristics of the profiled data in your source system.
You can view the events that data observability generates for anomalies identified for catalog sources, technical data sets, and data elements. You can then take appropriate actions for the generated events.
Note: The administrator of the catalog source might have applied filters to the data to narrow down the data elements that are applicable for business users in Data Governance and Catalog. The data for which users receive anomaly notifications depend on the filters that are configured for the catalog source.
The following image shows the open events for a column asset in Data Governance and Catalog:
For more information about data observability results, see Working With Assets in the Data Governance and Catalog help.
View classified data
When you add data classification rules to a catalog source in Metadata Command Center, the system identifies the columns and tables that match the rules and displays one or more matched data classifications on the column or table asset pages in Data Governance and Catalog.
The following image shows a column asset page with the inferred data element classifications that match the column data and metadata:
For more information about data classification assets, see Asset Details in the Data Governance and Catalog help.
View glossary associations
When you enable the glossary association capability for a catalog source in Metadata Command Center, you can view the accepted glossary assets in Data Governance and Catalog.
The Overview tab for a technical asset in the catalog source displays glossary assets in the Accepted and CLAIRE Recommendations sections.
The Glossaries panel shows the automatically accepted and CLAIRE® recommended terms.
