What's New > April 2025 > New features and enhancements
  

New features and enhancements

The April 2025 release of Data Governance and Catalog includes the following new features and enhancements.

Associate reference data from Reference 360 with glossary assets

You can now view and associate reference data from Reference 360 with business terms and metrics in Data Governance and Catalog.
You can view a sample list of the first 50 code values in Data Governance and Catalog, and then navigate to Reference 360 to view more reference data.
You can also use the bulk import process to associate reference data with business terms and metrics. To associate reference data, use the new Reference Data column in the import file. When you export business terms and metrics, the exported file contains the associated reference data details.
The following image shows the reference data of a Business Term asset:
Image depicting the reference dataset for a Business Term asset.
For more information about associating reference data with business terms or metrics, see Associating reference data with business terms or metrics.

Associate reference data from Reference 360 with data elements

You can now associate reference data from Reference 360 with both technical and manual data elements and view reference data for data sets. For data elements, you can link reference data associated with the glossary or associate new reference data from Reference 360. If multiple glossaries have associated reference data, you can choose which glossary to link. For data sets, you can view the reference data associated with their corresponding data elements.
You can also use the bulk import process to associate reference data with technical and manual data elements. To associate reference data with data elements, use the new Reference Data column in the import file or use the new Referenced Glossary column to associate reference data linked to the glossary. When you export technical and manual data elements, the exported file contains the associated reference data details.
The following image shows the reference data of a data element:
Image depicting the reference dataset for a data element.
For more information about associating reference data with manual data elements, see Associating reference data with manual data elements.
For more information about associating reference data with data elements, see Associating reference data with data elements.

New tasks inbox

This release of Data Governance and Catalog introduces the Tasks Inbox, which allows you to view the tasks for workflows created using the new workflow engine implemented in the latest release of Metadata Command Center.
To maintain business continuity, you can continue to access the tasks for your existing workflows in the current Workflow Inbox from the Home page. Tasks related to workflows created using the Application Integration process will continue to appear in the Workflow Inbox until the next major upgrade for Data Governance and Catalog.
The following image shows the Tasks Inbox page:
Image depicting the My Tasks tab on the Tasks Inbox page. The Task Details tab is open for the task that is selected in the Tasks section.
Note: To streamline your ticket management experience, the Tasks Inbox will fully replace the Workflow Inbox in the next major upgrade for Data Governance and Catalog. Before the next major upgrade, ensure that you complete all tasks pertaining to workflows created through Application Integration. After the upgrade, any open tasks from these legacy workflows will expire, and the associated tickets will be cancelled.
For more information about the new Tasks Inbox, see Workflows and tickets.

Use CLAIRE to generate description and enrich assets

When you create a new glossary asset or curate technical assets with business context, Data Governance and Catalog now provides you the option to harness the power of CLAIRE to assist you in your journey.
The following image shows the Description section of a technical asset:
Image depicting the Overview page of a technical asset. The Description field is highlighted. A CLAIRE generated description is displayed in the Description field.
You can leverage CLAIRE to perform the following tasks:
As a part of this change, the user experience to enrich technical assets with business context has been updated. To explore the new experience, open the Contains tab of a data set or data element. On the Contains tab, use the Action menu next to the data element for which you want to curate data classifications to open the Curate Glossaries and Data Classifications dialog box.
The following image shows the Contains tab of a table:
Image depicting the Contains tab of a table. The Action menu next to a data element is expanded. The Curate option in the Action menu is highlighted.
For more information about how you can leverage CLAIRE to enrich a glossary asset or a technical asset, see Creating assets and assigning stakeholders and Associate business names and descriptions with technical assets.

Export assets from search-based widgets

If you expand a search-based widget, you can export assets of the corresponding search results using the Export button. On the Export Dashboard Widget dialog box, you can apply additional filters to the selected assets to export its child assets, relationships, custom attributes and other details.
The following image shows the Export Dashboard Widget dialog box:
Image depicting the Export Dashboard Widget dialog box.
For more information about exporting assets from search-based widgets, see Exporting assets from search-based widgets.

New public REST APIs

You can use the following new public REST APIs to interact with the assets in Data Governance and Catalog:
For more information about these REST APIs, see API Reference.

Data Access Management enhancements

This release includes the following enhancements to Data Access Management:

Catalog source and system level lineage

On the Lineage tab, you can now view catalog source level and system level lineage for assets. Catalog sources show the highest lineage level without underlying data sets or data elements. You can navigate across various lineage levels seamlessly with lineage at higher levels aggregating relevant information from lower levels.
The following image shows the catalog source level lineage for a sample technical data set:
Image depicting a catalog source level lineage for a technical asset with the data flow from one catalog source to another.
The following image shows the system level lineage for a sample Microsoft Power BI Report:
Image depicting a system level lineage for a business asset with the data flow from one system to another.
For more information about data lineage, see Data lineage.

Notifications

Notifications have the following enhancements:

Receive notifications for pending tasks

Data Governance and Catalog now sends you a notification on the the Notifications page if a workflow task on an asset for which you are responsible, is approaching or past its due date.
For more information about notifications, see Notifications.

Data quality enhancements

This release includes the following enhancements to data quality:

Data observability enhancements

This release includes the following enhancements to data observability:
For more information about anomaly events, see View anomaly events.

Customization enhancements

This release includes the following enhancements to customization:
The following image shows asset-specific columns:
Image depicting asset-specific columns.
The following image shows asset-specific filter for the process asset:
Image depicting the search for the process asset type.
The following image shows primary key and foreign key indicators for a table:
Image depciting primary key and foreign key indicators
For more information about the Browse tab, see Browse for assets.
For more information about the Hierarchy tab, see Glossary Domain, Glossary Subdomain, Glossary Business Term, and Glossary Metric.
For more information about the Contains tab, see View technical assets.

Bulk export and import enhancements

This release includes the following enhancements to bulk export and import:

New relationships for process and project assets

You can now establish additional types of direct relationships for process and project assets.
The following table describes the new relationships that you can create for process and project assets:
Source Asset Type
Target Asset Type
Relationship Type
Process
BI Report
is Related to
Process
Data Element
is Related to
Process
Report Element
is Related to
Process
Technical Data Set
is Related to
Project
BI Report
is Related to
Project
Data Element
is Related to
Project
Report Element
is Related to
Project
Technical Data Set
is Related to
For more information about the types of relationships that you can create between two assets, see Types of direct relationships.

Remove declined glossaries and classifications

You can now remove the glossaries, data element classifications and data entity classifications, that are declined for a technical asset.
The following image shows the option for bulk removing declined data classifications:
Image depicting the Overview page of an asset that shows the bulk accept, decline, and remove options for the data entity classifications. The Remove All Declined Classifications option is highlighted.
For more information about how you can curate glossaries and data classifications for a technical asset, see Enrich technical assets.

New catalog sources

This release includes the following new catalog sources:
For information about catalog sources, see the Catalog Source Configuration help.

Enhanced catalog sources

This release includes the following enhancements to catalog sources:
Amazon S3
You can use the AssumeRole via IAM user authentication to run data profiling and data quality jobs.
For more information, see Amazon S3.
Microsoft Azure Data Factory
Activities that don't include lineage information are categorized as Control Activity in the model hierarchy.
For more information, see Microsoft Azure Data Factory.
Microsoft Azure SQL Server
You can use Service Principal authentication to connect to a Microsoft Azure SQL Server source system.
For more information, see Catalog Source Configuration.
SAP ERP
You can perform connection assignment to view the lineage between Informatica Intelligent Cloud Services Data Integration mappings and an SAP ERP data source.
For more information, see Catalog Source Configuration.
SAP HANA Database
You can extract metadata for calculation views created in the HANA Deployment Infrastructure (HDI).
For more information, see Catalog Source Configuration.
Informatica Intelligent Cloud Services
This release includes the following enhancements:
For more information, see Informatica Intelligent Cloud Services.
Oracle Business Intelligence
You can extract metadata from Publisher Report, Publisher Data Model, and other additional objects.
For more information, see Oracle Business Intelligence.
Tableau
This release includes the following enhancements:
For more information, see Catalog Source Configuration.
Databricks
You can choose from the following external secrets manager authentication tools to run data profiling and data quality jobs:
For more information about how to configure Secrets Manager in Administrator, see Organization Administration.

Configure additional data capabilities

You can configure the following additional data capabilities on catalog sources:
For more information about catalog sources, see Catalog Source Configuration.

Profiling enhancements

This release includes the following profiling enhancements:
Databricks
You can run profiles on the metadata extracted from multiple catalogs.
SAP ERP
You can run profiles on database views and CDS views.
Filters based on asset types for data profiling
You can define data profiling filters based on specific asset types for the following catalog sources:
For more information, see Catalog Source Configuration.
Wildcards for data profiling filters
When you specify data profiling filters, you can use question marks or asterisks as wildcard characters for the following catalog sources:
For more information, see Catalog Source Configuration.

Incremental metadata extraction

You can now run incremental metadata extraction jobs on the following catalog sources:
A full metadata extraction extracts all objects from the source to the catalog. An incremental metadata extraction considers only the changed and new objects since the last successful catalog source job run. Incremental metadata extraction doesn’t remove deleted objects from the catalog and doesn’t extract metadata of code-based objects.
For more information, see Catalog Source Configuration.

Design workflows

You can now leverage the Business Process Modeling Notation (BPMN) infrastructure to design multi-step approval workflows in Metadata Command Center. You can design workflows that suit your organizational needs and configure events for the workflows in Metadata Command Center. The workflows start when you work with assets in Data Governance and Catalog.
Important: After you upgrade to the April 2025 release, you need to redesign your workflows in Metadata Command Center. You can use predefined workflows that Informatica provides or build your own workflows.
For more information about designing workflows, see Workflows.

Configure business name and description assignment for glossary association

When you configure glossary association, you can choose to assign business names and descriptions to technical assets. If you assign business names and descriptions, you can choose to apply them only to unassigned assets and retain current assignments, or allow the overwrite of existing assignments.
For more information about assigning business names and descriptions to technical assets, see Glossary Association.

Export lookup tables

You can export lookup tables that you use in data classification.

Enable recommendations below the confidence score threshold for auto-acceptance

When you enable auto-acceptance for glossary association, you can choose to enable or disable recommendations below the Confidence Score Threshold for Auto-Acceptance. Specify a Confidence Score Threshold for Recommendations to get recommendations between 80 and your confidence score threshold for auto-acceptance, or between 80 and 100 if you don't enable auto-acceptance.
For more information about enabling and disabling recommendations, see Glossary Association.

Preview data classifications

You can preview details of a data element or a data entity when you configure data classification for a catalog source.