New features and enhancements

The February 2025 release of Metadata Command Center includes the following new features and enhancements.

Enhanced catalog sources

Amazon S3

You can extract metadata from the ORC file type.

For more information, see Amazon S3.

Databricks

You can run data profiling and data quality tasks on external tables in Parquet and CSV format.

For more information, see Databricks.

Microsoft Azure Data Factory

This release includes the following enhancements:

- 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.

For more information, see Microsoft Azure Data Factory.

Microsoft SharePoint Online

You can use Microsoft Entra ID authentication to connect to Microsoft SharePoint Online.

For more information, see Microsoft SharePoint Online.

IBM InfoSphere DataStage

You can now run metadata extraction jobs that include the Snowflake Connector stage.

For more information, see IBM InfoSphere DataStage.

Oracle Data Integrator

This release includes the following enhancements:

- 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.

For more information, see Oracle Data Integrator.

SAP Analytics Cloud

You can now connect to an SAP Analytics Cloud source system using the proxy server settings that you configure for a Secure Agent.

For more information, see SAP Analytics Cloud.

Configure additional data capabilities

You can configure the following additional data capabilities on catalog sources:

•Glossary association and data classification capabilities on the following catalog sources:

- Google Looker
- MicroStrategy

•Glossary association, relationship discovery, and data classification capabilities on the following catalog source:

- Oracle Cloud Object Storage

For more information about catalog sources, see Catalog Source Configuration.

Incremental metadata extraction

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.