The February 2025 release of Data Governance and Catalog includes the following new features and enhancements.
Manage data access policies
You can use the new Data Access Management page to manage data access policies to control access to data. Previously, this was managed through the separate Data Access Management service.
The following image shows the new Data Access Management page in Data Governance and Catalog:
You can also apply metadata access controls to grant permissions to data access policies by selecting the new data access asset type.
Additionally, you can use the new metadata access policies for data access controls:
Users with the new Data Access Owner user role have permission to create, read, update, and delete data access controls using the predefined Data Access Owner metadata access policy.
Stakeholders have permission to create, read, update, and delete data access controls using the predefined Data Access Owner Stakeholder metadata access policy.
For more information about the data access asset type, see Data Access Management.
Bulk export and import enhancements
This release includes the following enhancements to bulk export and import:
•When you export assets from the catalog, the exported file now contains both the names and reference IDs of assets to uniquely distinguish assets from each other. Previously, the exported file contained only the names of the assets in these columns.
- The exported file for business assets contains both the name and reference IDs of the parent assets in the Parent asset column.
- The exported file for technical assets now contains both the name and reference ID of the assets in the following columns:
▪ Glossaries: Accepted
▪ Business Dataset
- The Relationships export file now contains both the name and reference ID of the source and target assets in each relationship in the following columns:
▪ Source Asset
▪ Target Asset
•You can now update the primary data elements of a data quality rule occurrence with scorecard through bulk import. Previously, you could update the primary data element of a data quality rule occurrence with scorecard only through the user interface.
•When you export a data quality rule occurrence with scorecard, the exported file contains the primary data element. Previously, the primary data element was not included when you exported a rule occurrence with scorecard.
- You can now run metadata extraction jobs on pipelines containing the Delete activity type.
- You can now view the lineage of each iteration of the ForEach activity separately under the new ActivityInstance lineage hierarchy level. The ActivityInstance level is nested under the Activity level.
To prevent the old and new hierarchies from overlapping, run a catalog source job with the retention policy in the Metadata Change Option set to Delete. Objects that existed previously, but are not present in the new hierarchy, get deleted from the catalog along with their enrichments.
- You can evaluate Java BeanShell scripts to resolve text and process SQL scripts. If the evaluation breaks due to missing values, you can provide default values for the variables in the form of key-value pairs in the Default Variable Values property.
- You can extract metadata from scenario object types independent of the knowledge modules used to generate them.
You can now run incremental metadata extraction jobs on the following catalog sources:
•Microsoft Azure Data Lake Storage Gen2
•Microsoft SQL Server
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 about Microsoft Azure Data Lake Storage Gen2 and Microsoft SQL Server catalog sources, see Catalog Source Configuration.
View endpoint object recommendations for connection assignment
You can now view endpoint object recommendations when you assign reference catalog source connections to endpoint catalog source objects. The recommendations are a filtered list of endpoint objects based on connection characteristics. By default, the recommended endpoint objects appear in the Assign Connection dialog box. You can additionally view all the endpoint catalog source objects.
For more information about viewing endpoint object recommendations for connection assignment, see Assigning connections.
