•  Introduction to Microsoft Azure Machine Learning catalog sources
  •  Extraction and view process
  •  About the Microsoft Azure Machine Learning catalog source
  •  Extracted metadata
  •  Compatible connectors
•  Before you begin
  •  Verify permissions
    •  Permissions for metadata extraction
  •  Create a connection
  •  Create endpoint catalog sources for connection assignment
•  Create catalog sources in Metadata Command Center
  •  Step 1. Register a catalog source
  •  Step 2. Configure capabilities
    •  Configure metadata extraction
    •  Configure lineage discovery
  •  Step 3. Associate stakeholders and asset groups
  •  Step 4. Run or schedule the job
  •  Step 5. Assign reference catalog source connections to endpoint catalog source objects
•  View results in Data Governance and Catalog
  •  View metadata extraction results
  •  View data lineage
    •  View lineage at the catalog source level
    •  View lineage at the data set level
•  Managing catalog sources
  •  Cloning a catalog source configuration
  •  Deleting or purging a catalog source
  •  Purging obsolete objects from a catalog source
  •  Curating CLAIRE recommendations
  •  Managing configuration permissions for catalog sources

Introduction to Microsoft Azure Machine Learning catalog sources

Managing configuration permissions for catalog sources

HL_MicrosftAzureMachineLearningSources

MCC_AZUREML_CONN-CONN_NAME

MCC_AZUREML_CONN-CONN_DESC

MCC_AZUREML_CONN-USE_SECRET_VAULT

MCC_AZUREML_CONN-AGENTGROUPID

MCC_AZUREML_CONN-CLIENTID

MCC_AZUREML_CONN-CLIENTSECRET

MCC_AZUREML_CONN-TENANTID

MCC_AZUREML_CONN-SUBSCRIPTIONID

MCC_AZUREML_CONN-RESOURCEGROUP

infa.mcc.pages.cs.step.registration.microsoft.azure.machine.learning

infa.mcc.pages.cs.step.configuration.metadata.extraction.microsoft.azure.machine.learning

infa.mcc.pages.cs.step.configuration.lineage.discovery.microsoft.azure.machine.learning

infa.mcc.pages.explore.catalog.sources

infa.mcc.pages.cs.step.permissions