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Data Catalog catalogs metadata from
Vertex AI Feature Store resources. Using the metadata search capability of
Dataplex Universal Catalog, you can discover these resources and view their
metadata. For more information about the Data Catalog metadata
search capability, seeSearch and view data assets with Data Catalog.
When you use the Google Cloud console to access Google Cloud services and
APIs, you don't need to set up authentication.
Vertex AI Feature Store resources in Data Catalog
Data Catalog lets you discover Google Cloud resources as data
assets. The following Vertex AI Feature Store resources are
categorized as data types in the Dataplex Universal Catalog search filter:
FeatureOnlineStore
FeatureView
FeatureGroup
Note thatFeatureis not listed as a data type in the search filters. However,
you can view the list of features and feature metadata by viewing the metadata of the
parent feature groups.
IAM permissions required
Using the Dataplex Universal Catalog search, you can view
Vertex AI Feature Store resources if you have the IAM
permissions to view those Vertex AI Feature Store resources in your
Google Cloud project. You don't need additional permissions for viewing
the resource metadata in Data Catalog.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Search for resource metadata in Data Catalog\n\n| **Caution:** Data Catalog is [deprecated](/data-catalog/docs/deprecations) in favor of [Dataplex Universal Catalog](/dataplex/docs/catalog-overview). Dataplex Universal Catalog is also integrated with Vertex AI Feature Store, offering similar capabilities.\n\nData Catalog catalogs metadata from\nVertex AI Feature Store resources. Using the metadata search capability of\nDataplex Universal Catalog, you can discover these resources and view their\nmetadata. For more information about the Data Catalog metadata\nsearch capability, see\n[Search and view data assets with Data Catalog](/data-catalog/docs/how-to/search).\n\nAlternatively, to search for Vertex AI Feature Store resources from\nVertex AI, see\n[Search for Vertex AI Feature Store resources](/vertex-ai/docs/featurestore/latest/search-resources).\n\nBefore you begin\n----------------\n\n[Authenticate yourself to\nData Catalog](/data-catalog/docs/concepts/authentication), unless you've done so already.\n\n\nWhen you use the Google Cloud console to access Google Cloud services and\nAPIs, you don't need to set up authentication.\n\nVertex AI Feature Store resources in Data Catalog\n-------------------------------------------------\n\nData Catalog lets you discover Google Cloud resources as data\nassets. The following Vertex AI Feature Store resources are\ncategorized as data types in the Dataplex Universal Catalog search filter:\n\n- `FeatureOnlineStore`\n\n- `FeatureView`\n\n | **Note:** If your project name contains `:`, Dataplex Universal Catalog catalogs `FeatureOnlineStore` resources, but doesn't catalog `FeatureView` and `Feature` resources created in the project.\n- `FeatureGroup`\n\nNote that `Feature` is not listed as a data type in the search filters. However,\nyou can view the list of features and feature metadata by viewing the metadata of the\nparent feature groups.\n\nIAM permissions required\n------------------------\n\nUsing the Dataplex Universal Catalog search, you can view\nVertex AI Feature Store resources if you have the IAM\npermissions to view those Vertex AI Feature Store resources in your\nGoogle Cloud project. You don't need additional permissions for viewing\nthe resource metadata in Data Catalog.\n| **Note:** If you have the permission to view a feature group, you can view the features, including feature metadata, within that feature group using Data Catalog.\n\nView metadata for an online store\n---------------------------------\n\nTo search for a\n[`FeatureOnlineStore`](/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores#resource:-featureOnlineStore)\nresource, follow these steps: \n\n### Console\n\n1. To launch a search query in the Google Cloud console,\n go to the Dataplex Universal Catalog **Search** page.\n\n [Go to Search](https://console.cloud.google.com/dataplex/search)\n2. Use the following **Filters** to define your search parameters:\n\n - **Projects** : Click **Add project** to search for and select a specific project.\n\n - **Data types** : Select **FeatureOnlineStore**.\n\n You can also define your query in the search field. To learn how to define\n your search query in Data Catalog, see\n [Data Catalog search syntax](/data-catalog/docs/how-to/search-reference).\n3. To view the resource metadata, in the filtered list of data assets, click the name of the online store\n instance.\n\n\u003cbr /\u003e\n\nView metadata for a feature view\n--------------------------------\n\nTo search for a\n[`FeatureView`](/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores.featureViews#resource:-featureView)\nresource, follow these steps: \n\n### Console\n\n1. To launch a search query in the Google Cloud console,\n go to the Dataplex Universal Catalog **Search** page.\n\n [Go to Search](https://console.cloud.google.com/dataplex/search)\n2. Use the following **Filters** to define your search parameters:\n\n - **Projects** : Click **Add project** to search for and select a specific project.\n\n - **Data types** : Select **FeatureView**.\n\n You can also define your query in the search field. To learn how to define\n your search query in Data Catalog, see\n [Data Catalog search syntax](/data-catalog/docs/how-to/search-reference).\n3. To view the resource metadata, in the filtered list of data assets, click the name of the feature view.\n\n\u003cbr /\u003e\n\nView metadata for a feature group\n---------------------------------\n\nTo search for a\n[`FeatureGroup`](/vertex-ai/docs/reference/rest/v1/projects.locations.featureGroups#resource:-featuregroup)\nresource, follow these steps: \n\n### Console\n\n1. To launch a search query in the Google Cloud console,\n go to the Dataplex Universal Catalog **Search** page.\n\n [Go to Search](https://console.cloud.google.com/dataplex/search)\n2. Use the following **Filters** to define your search parameters:\n\n - **Projects** : Click **Add project** to search for and select a specific project.\n\n - **Data types** : Select **FeatureGroup**.\n\n You can also define your query in the search field. To learn how to define\n your search query in Data Catalog, see\n [Data Catalog search syntax](/data-catalog/docs/how-to/search-reference).\n3. To view the resource metadata, in the filtered list of data assets, click the name of the feature group.\n\n\u003cbr /\u003e\n\nView metadata for features within a feature group\n-------------------------------------------------\n\nTo view the list of\n[`Feature`](/vertex-ai/docs/reference/rest/v1/projects.locations.featureGroups.features#resource:-feature)\nresources and their metadata within a feature group, follow these steps: \n\n### Console\n\n1. To launch a search query in the Google Cloud console,\n go to the Dataplex Universal Catalog **Search** page.\n\n [Go to Search](https://console.cloud.google.com/dataplex/search)\n2. Use the following **Filters** to define your search parameters:\n\n - **Projects** : Click **Add project** to search for and select a specific project.\n\n - **Data types** : Select **FeatureGroup**.\n\n You can also define your query in the search field. To learn how to define\n your search query in Data Catalog, see\n [Data Catalog search syntax](/data-catalog/docs/how-to/search-reference).\n3. In the filtered list of data assets, click the name of the parent feature\n group containing the features.\n\n4. To view the list of features and feature metadata within\n the feature group, click **Schema**.\n\n\u003cbr /\u003e\n\nWhat's next\n-----------\n\n- Perform an [advanced search for Vertex AI Feature Store resources](/vertex-ai/docs/featurestore/latest/search-resources).\n\n- Learn more about [Data Catalog](/data-catalog/docs/concepts/overview)."]]
