Informatica Intelligent Cloud Services is an on-demand subscription cloud service that provides access to Data Integration, MDM SaaS, and Reference 360 assets.
You can run connection-aware scans on Informatica Intelligent Cloud Services sources.
Objects extracted
Metadata Command Center extracts the following objects from Informatica Intelligent Cloud Services:
Data Integration
- Calculation
- Data synchronization task
- Folder
- PowerCenter task
- Project
- Mapping
▪ ELT (Extract Load Transform) Mapping
▪ ETL (Extract Transform Load) Mapping
- Mapping task
- Mapping task instance
- Advanced mapping
MDM SaaS
- Attribute
- Business entity
A business Entity can be used in mapping tasks as sources or targets.
- Calculation
- Data Quality
- Data Quality Calculation
- Field
- Folder
- Hierarchy Field
- Hierarchy Relationship
- Landing Data Set
- Landing Field
- Mapping
▪ ETL (Extract Transform Load) Mapping
- Mapping task
- Mapping task instance
- Match and Survivorship
- Match and Survivorship Calculation
- MDM Hierarchy
- MDM Relationship
- Project
- Relationship Field
- Source Record Data Set
- Source Record Field
- Source System
- Source System Folder
- System field
Reference 360
- Code list
- Crosswalk
- Hierarchy
- Hierarchy data set
- Mapping
▪ ETL (Extract Transform Load) Mapping
- Reference data set
- Mapping task
- Mapping task instance
Metadata Command Center extracts the following types of tasks:
•Mapping task. A mapping task defines reusable data flow logic that is not available in Data Synchronization tasks, such as specific ordering of logic or joining sources from different systems.
•PowerCenter task. The PowerCenter task imports PowerCenter workflows to Informatica Cloud and runs them as Informatica Cloud tasks.
•Data synchronization task. The Data Synchronization task synchronizes data between a source and target.
•Mapping task instance. Instance is an execution of a mapping task.
Note: Metadata Command Center also extracts these tasks when they are run from taskflows.
You can extract advanced mappings with the following transformation types:
•Mapplet
•MappletInput
•MappletOutput
•Aggregator
•Sorter
•Expression
•Filter
•Joiner
•Lookup
•Normalizer
•Rank
•Router
•Sequence
•Union
•AccessPolicy
To extract advanced mappings, use the following connectors:
•Amazon Redshift V2
•Amazon S3 V2
•Databricks Delta
•Google BigQuery V2
•Google Cloud Storage V2
•Hive Connector
•Microsoft Azure Data Lake Storage Gen2
•Microsoft Azure Synapse SQL
•Microsoft Fabric Data Warehouse
•Microsoft Fabric Lakehouse
•Microsoft Fabric OneLake
•Snowflake Cloud Data Warehouse
You can override the parameters of a task in a taskflow when you use the following connectors:
•Amazon Redshift V2
•Databricks Delta
•Google BigQuery V2
•Microsoft Azure Synapse SQL
•Microsoft Fabric Data Warehouse
•Microsoft Fabric Lakehouse
•Microsoft Fabric OneLake
•Snowflake Cloud Data Warehouse
Data Lineage
The following lineage data is available for Informatica Intelligent Cloud Services assets:
•Data sets
•Data elements
•Default column
The following lineage data is available for business entities from MDM SaaS when run through Ingress/Egress jobs:
•Landing dataset
•Data quality
•Source record dataset
•Match and survivorship
The following lineage data is available for Reference 360
•Code list
•Hierarchy
•Crosswalk
For more information about data lineage, see Data Lineage in the Asset Discovery help.