You can enable IDMC metadata in Metadata Command Center to synchronize metadata from Data Integration tasks and Application Integration design-time objects with the catalog.
A data integration task is a process that you configure to analyze, extract, transform, and load data. You can run individual tasks manually or set tasks to run on a schedule. Application Integration allows you to design, integrate, and implement business processes spanning different cloud and on-premises applications.
IDMC metadata synchronizes metadata from tasks in Data Integration and Application Integration design-time objects with the catalog, and incrementally updates design-time and run-time metadata associated with tasks. Design-time metadata from Data Integration implies metadata from mappings and task definitions. For example, definitions of mapping tasks, data synchronization tasks, taskflows, and dynamic mapping tasks. Run-time metadata implies metadata resulting from tasks run, such as lineage and mappings.
IDMC metadata synchronizes metadata from the following design-time task types in Data Integration:
•Mapping
- ELT (Extract Load Transform) Mapping
- ETL (Extract Transform Load) Mapping
•Mapping Task
•Project
•Folder
•Synchronization Task
•PowerCenter Task
•Dynamic Mapping Task
•Replication Task
•Masking Task
•Linear Taskflow
•Taskflow
IDMC metadata synchronizes metadata from the following design-time objects in Application Integration:
•Process
•Process Object
•Service Connector
•Connection
•Guide
•Human Task
If you enable IDMC metadata in Metadata Command Center, you don’t have to configure the Informatica Intelligent Cloud Services catalog source to extract metadata from Data Integration tasks. IDMC metadata synchronizes the design-time changes that you make to tasks in Data Integration in near-real time with the catalog.
Note: IDMC metadata synchronizes run-time metadata for tasks that are run after you enabled IDMC metadata.
After you enable IDMC metadata, you can view details related to the task assets such as the asset overview, hierarchy, lineage, relationship, stakeholders, and referenced source systems in Data Governance and Catalog.