Azure Data Factory pattern-based discovery

  • Release version: Yokohama
  • Updated August 11, 2026
  • 2 minutes to read
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    Summary of Azure Data Factory pattern-based discovery

    The Azure Data Factory pattern-based discovery enables ServiceNow customers to identify and map Azure Data Factory services within their cloud environments. This discovery process leverages the Discovery and Service Mapping Patterns application, which requires certain prerequisites and configuration steps to function effectively. The pattern collects detailed information about Azure Data Factory resources and populates this data into both CMDB and non-CMDB tables to provide a comprehensive view of the cloud infrastructure.

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    Key Features

    • Pattern Activation: The Azure Data Factory discovery pattern is disabled by default. From Visibility Content version 6.28.0 onward, enabling or disabling patterns no longer counts as a customization, allowing seamless updates.
    • Prerequisites: Customers must verify Microsoft Azure discovery prerequisites and configure Azure service accounts appropriately, especially when discovering Azure GovCloud (US) accounts, which require a specific datacenter URL.
    • Data Storage:
      • Non-CMDB Tables: When running the Azure Data Factory Extended Inventory (LP) pattern, data such as identity, resource kind, location, provisioning state, network access status, resource group, subscription ID, tenant ID, and version are stored in the cmdbazuredatafactorydatafactory table.
      • CMDB Tables: Key resource details like install status, operational status, name, object ID, resource type (set as microsoft.datafactory/factories), description, and version are stored in the cmdbcicmpresource table.
    • CI Relationships: The pattern automatically creates configuration item relationships linking Azure Data Factory resources to resource groups, Azure datacenters, and cloud resources, supporting comprehensive discovery and mapping.
    • Tag Discovery: Azure tags associated with resources are collected and stored in the Key Value (cmdbkeyvalue) table, capturing tag names and their values for enhanced resource categorization.

    Practical Benefits for ServiceNow Customers

    • Accurately discover and map Azure Data Factory services within your cloud environment, enhancing visibility and governance.
    • Ensure up-to-date discovery patterns by managing pattern activation without customization conflicts during upgrades.
    • Integrate detailed resource information into your CMDB and related non-CMDB tables, enabling better asset management and operational insights.
    • Leverage automated CI relationships and tag collections to improve configuration management and reporting capabilities.

    Discovery and Service Mapping Patterns finds Azure services on your cloud environment. Discovering some of these resources may require updating to the latest version of the Discovery and Service Mapping Patterns application from the ServiceNow Store.

    Pattern-based discovery and mapping requirements

    Verify the Microsoft Azure discovery prerequisites
    For more information, see the prerequisites section in Microsoft Azure Cloud components discovery using patterns.
    Enable the relevant pattern
    The pattern for this service is disabled by default. Starting with Visibility Content version 6.28.0, activating or deactivating a pattern won't be considered a customization, and it will continue to receive updates. Patterns that were previously activated or deactivated will reset to the latest predefined version after upgrading while retaining the last active field value. For more information on enabling patterns, see Activate a disabled pattern.
    Configure the Discovery schedule to support GovCloud
    Discovering Azure GovCloud (US) accounts requires using a datacenter URL when setting up an Azure service account. For more information, see Set up Azure service accounts.

    Discovery and Service Mapping Patterns application populates data in both CMDB and non-CMDB tables.

    Data stored in non-CMDB tables

    Discovery and Service Mapping Patterns application populates data in the non-CMDB table when running the Azure - Data Factory - Extended Inventory(LP) pattern.

    You can review the non-CMDB Azure tables by navigating to All > Configuration > Azure. You can also search the navigation filter for the specific pattern name.

    Table 1. Azure Data Factory [cmdb_azure_data_factory_data_factory]
    Field Description
    Identity [identity] Information about the identity associated with the resource.
    Kind [kind] The specific kind or stock keeping unit (SKU) of the resource.
    Location [location] The geographical location where the resource is deployed.
    Object Id [object_id] The unique identifier of the resource.
    Provisioning State [provisioning_state] The current provisioning status of the resource.
    Public Network Access [public_network_access] The status of public network accessibility for the resource.
    Resource Group [resource_group] Name of the resource group.
    Subscription ID [subscription_id] The subscription ID.
    Tenant ID [tenant_id] The unique identifier of the tenant containing the resource.
    Version [version] The version of the resource.
    Configuration Item [configuration_item] References the Cloud Resource [cmdb_ci_cmp_resource] table.

    Data stored in CMDB tables

    Discovery and Service Mapping Patterns application populates data in the CMDB when running the Azure - Data Factory - Extended Inventory(LP) pattern.

    Table 2. Cloud Resource [cmdb_ci_cmp_resource]
    Field Description
    Install Status [install_status] Install status of the resource. Default value is Installed.
    Location [location] The geographical location where the resource is deployed.
    Name [name] The name assigned to the resource.
    Object ID [object_id] The unique identifier of the resource.
    Operational status [operational_status] Operational status of the resource. Default value is Operational.
    Resource type [resource_type] Type of resource. The value is set to microsoft.datafactory/factories.
    Description [short_description] Description of the resource or service.
    Version [version] The version of the resource.

    CI relationships

    The pattern creates these relationships to support discovery.

    CI Relationship CI
    Resource Group [cmdb_ci_resource_group] Contains::Contained by Cloud Resource [cmdb_ci_cmp_resource]
    Cloud Resource [cmdb_ci_cmp_resource] Hosted on::Hosts Azure Datacenter [cmdb_ci_azure_datacenter]
    Azure Data Factory [cmdb_azure_data_factory_data_factory] References Cloud Resource [cmdb_ci_cmp_resource]

    Azure tag discovery

    The pattern collects tags and populates them in the Key Value [cmdb_key_value] table.
    Table 3. Key Value [cmdb_key_value]
    Field Description
    Key [key] Tag name.
    Value [value] Tag value.