What's New and Changed (10.5.3) > Part II: Version 10.5.2 - 10.5.2.1.x > 10.5.2 What's New > Enterprise Data Catalog
  

Enterprise Data Catalog

Read this section to learn what's new for Enterprise Data Catalog in version 10.5.2.

Bulk certification of assets

Effective in version 10.5.2, resource stakeholders such as data owners, data stewards, and subject matter experts can certify or decertify assets from the resource in bulk.
For more information, see the Informatica Enterprise Data Catalog User Guide.

Enrichment Migration Utility

Effective in version 10.5.2, you can use the Enrichment Migration Utility to migrate enrichments between resources of the same type. For example, from the Salesforce scanner V1 to the Salesforce MetaDex scanner V2. This utility is available in the MetaDex tool.
For more information, see the MetaDex Scanner Configuration Guide.

MetaDex Job Reports

Effective in version 10.5.2, you can generate Microsoft Excel reports that contain logs and objects for jobs that you run in the MetaDex tool.
For more information, see the Enterprise Data Catalog 10.5.2 MetaDex Scanner Configuration Guide.

Scanners

Effective in version 10.5.2, you can extract metadata from Microsoft Azure Synapse Analytics. You configure the Microsoft Azure Synapse Analytics MetaDex scanner in the MetaDex tool.
Effective in version 10.5.2, you can also extract metadata from data sources with the following standard scanners that you configure in the MetaDex tool:
Note: This functionality is available as technical preview. Technical preview functionality is supported for evaluation purposes but is unwarranted and is not supported in production environments or any environment that you plan to push to production. Informatica intends to include the preview functionality in an upcoming release for production use, but might choose not to in accordance with changing market or technical circumstances. For more information, contact Informatica Global Customer Support.
For more information, see the Enterprise Data Catalog MetaDex Scanner Configuration Guide.

Profiling Enhancements

Read this section to learn what's new for profiling in Enterprise Data Catalog.

Profile Avro files

You can extract metadata, discover Avro partitions, and run profiles on Avro files with multiple-level hierarchy. You can run profiles on Avro files for the following types of resources:
You can run profiles on Avro files using HDFS, Microsoft Azure Data Lake Storage Gen2, and Amazon S3 resources on the Spark engine.
For more information, see the Informatica Enterprise Data Catalog Administrator Guide.

Profile Google BigQuery resource with reserved keywords

You can run profiles on the Google BigQuery resource with reserved keywords in the Google BigQuery table.
For more information, see the Informatica Enterprise Data Catalog Scanner Configuration Guide.

Use Amazon S3 and AWS Databricks Delta tables to run profiles

You can use Amazon S3 and AWS Databricks Delta tables to run column profiles and discover data domains on both native and AWS Databricks run-time environments.

External PostgreSQL database to improve performance of Similarity Discovery resources

You can configure an external PostgreSQL database to improve the performance of Informatica Similarity Discovery resources. You can choose to either install the PostgreSQL database server bundled with the Enterprise Data Catalog installer or configure an external PostgreSQL database. You can configure the external PostgreSQL database after installation of Enterprise Data Catalog.
For more information, see the KB article How To: Configure an external PostgreSQL database for similarity profiling.

Resource Enhancements

Read this section to learn what's new for resources in Enterprise Data Catalog.

SAP S/4HANA Resource

You can enable the streaming mode for data discovery when accessing data from the SAP S/4HANA resource.

Axon and Business Glossary Resources

Effective in version 10.5.2, you can view the hierarchy of a business term associated with a technical asset for Axon and Business Glossary resources.

Amazon S3 V2 and Azure Data Lake Storage Gen2 V2 Resources

The Amazon S3 V2 and Azure Data Lake Storage Gen2 V2 resources include the following enhancements:
Partitioned file configuration
You can configure the resources to eliminate non relevant partitions, and detect custom partitions in the data source.
Exclusion filter
You can configure the resources to exclude folders or directories recursively from the data source or the selected first level directories.
Note: This functionality is available as technical preview. Technical preview functionality is supported for evaluation purposes but is unwarranted and is not supported in production environments or any environment that you plan to push to production. Informatica intends to include the preview functionality in an upcoming release for production use, but might choose not to in accordance with changing market or technical circumstances. For more information, contact Informatica Global Customer Support.

Proxy server connection

You can configure the following resources to extract metadata using a proxy server:
For more information, see the Informatica Enterprise Data Catalog Scanner Configuration Guide.

REST APIs

Effective in version 10.5.2, you can use the following Informatica Enterprise Data Catalog REST APIs:
For more information about the REST APIs, see the Informatica 10.5.2 Enterprise Data Catalog REST API Reference.

Search Results

Effective in version 10.5.2, the Search Results page now displays composite data domains in the asset details.
For more information, see the Informatica Enterprise Data Catalog User Guide.

Reverse Proxy Support

Informatica Enterprise Data Catalog supports reverse proxy configuration.

View foreign key relationships

Effective in version 10.5.2, you can view details of foreign keys for assets such as tables, views, and files in the Enterprise Data Catalog tool.
You can also view the relationship between the asset and the foreign keys. For more information, see the Informatica Enterprise Data Catalog User Guide.