Big Data

Filter catalog property utilizing customized metadata search filters in Amazon SageMaker Unified Studio

March 19, 2026

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Discovering the fitting knowledge property in massive enterprise catalogs may be difficult, particularly when 1000’s of datasets are cataloged with organization-specific metadata. Amazon SageMaker Unified Studio now helps customized metadata search filters. You’ll be able to filter catalog property utilizing your personal metadata kind fields like therapeutic space, knowledge sensitivity, or geographic area reasonably than relying solely on free-text search. Customized metadata varieties are structured templates that outline extra attributes that may be hooked up to catalog property.

On this submit, you learn to create customized metadata varieties, publish property with metadata values, and use structured filters to find these property. We discover a healthcare and life sciences use case. A analysis group catalogs metrics in Amazon SageMaker Catalog utilizing customized metadata varieties with fields equivalent to Therapeutic Space and Pattern Measurement. Researchers constructing Machine studying fashions can now search datasets based mostly on customized filters throughout tons of of cataloged property to establish the most effective datasets to coach their fashions.

Key capabilities

Customized metadata search filters in SageMaker Unified Studio provide the next key capabilities:

Customized metadata kind filters – You’ll be able to filter search outcomes utilizing any customized metadata kind fields outlined of their catalog. For instance, a researcher can filter by Therapeutic Space = Oncology and Knowledge Sensitivity = Confidential to find particular datasets.
Title and outline filters – You’ll be able to add filters that concentrate on asset names or descriptions utilizing a textual content search operator, enabling focused discovery with out scanning full search outcomes.
Date vary filters – You’ll be able to filter property by date utilizing on, earlier than, after, and between operators, making it simple to find lately up to date or traditionally related property.
Combinable filters – You’ll be able to mix a number of filters to assemble exact queries. For instance, filtering by AWS Area = US AND Classification = PII AND Up to date after 2026-01-01 returns solely property matching all three standards.
Persistent filter picks – You’ll be able to filter configurations saved in your browser and should not shared throughout units or different customers. You’ll be able to later return to the catalog and discover your beforehand outlined filters.

Resolution overview

Within the following sections, we display easy methods to arrange customized metadata varieties, publish property with metadata values, and use customized metadata search filters to find these property.We full the next three steps for the demonstration.

Create a customized metadata kind
Create and publish property with metadata
Use customized metadata search filters

Stipulations

To observe together with this submit, you must have:

For directions on establishing a website and venture, see the Getting began information.

To create a customized metadata kind

Full the next steps to create a customized metadata kind with filterable fields:

In SageMaker Unified Studio, select Challenge overview from the navigation pane.
Beneath Challenge catalog, select Metadata entities.
Select Create metadata kind.
To create a brand new metadata kind ‘research_metadata’ use the next particulars, then select Create metadata kind.
Outline the shape fields. For this demo, we add the next fields:
Create first discipline Therapeutic Space (String) – Mark as Searchable

Create second discipline Topic Depend (Integer) – Mark as Filterable by vary
Mark the shape as ‘Enabled’ so the shape is seen and can be utilized.

Create and publish with metadata

On this part, you create a customized asset and fix the research_metadata kind created within the earlier step.

Beneath Challenge catalog within the navigation pane, select Metadata entities. Select the ‘ASSET TYPES’ tab and choose “CREATE ASSET TYPE’.
Create a brand new asset sort and fix the metadata kind that we created within the earlier step.

A brand new asset sort ‘metric’ is created.
Subsequent, we are going to create two metrics. Beneath Challenge catalog within the navigation pane, select Property. On the Asset web page, select CREATE, after which select Create asset from the menu.
On this demo, you create two metrics.

For the primary metric ‘drug_1_treatment’, present the next asset title and outline.

Add the next values for the metadata kind.

Validate all fields and select CREATE.

Publish the asset to the catalog.

Subsequent, we are going to create the second metric ‘drug_1_treatment’. Repeat the steps from the earlier process and enter the values proven.

Topic Depend = 450
Therapeutic Space = Oncology

Use customized metadata search filters

After publishing property with customized metadata, go to the Browse Property web page to make use of the filters.

To browse property and think about filters

In SageMaker Unified Studio, select Uncover from the navigation bar, then choose Catalog, Browse Property.
The search web page shows with the filter sidebar on the left. You’ll be able to see the prevailing system filters (Knowledge sort, Glossary phrases, Asset sort, Proudly owning venture, Supply Area, Supply account, Area unit) together with the brand new Date vary and Add Filter sections.

Add a customized filter

Select + Add Filter on the backside of the filter sidebar. For Filter sort, choose Metadata kind. For Metadata kind, choose research_metadata and add a filter as proven within the following picture. Select Apply if you’re finished.

The search outcomes replace to point out solely property the place ‘subject_count’ is bigger than 50.

To mix a number of filters

Select + Add Filter once more. For Filter sort, choose Metadata kind. For Metadata kind, choose research_metadata and add a filter as proven within the following picture. Select Apply if you’re finished.

Handle customized filters

Filter configurations are saved within the person’s browser and should not shared throughout units or customers.

To customise search, you would:

Toggle filters – Use the checkboxes subsequent to every customized filter to allow or disable them with out deleting.
Edit or delete – Select the kebab menu (⋮) subsequent to any customized filter to edit its values or delete it.
Clear all – Select CLEAR subsequent to the Customized filters header to deselect all customized filters directly.
Persistence – Your customized filters persist throughout browser classes. If you return to the Browse Property web page, your beforehand outlined filters are nonetheless listed within the sidebar, able to be activated.

Utilizing the SearchListings API

To go looking catalog property programmatically, you should use the SearchListings API in Amazon DataZone, which helps the identical filtering capabilities because the SageMaker Unified Studio UI. The next instance filters property the place a customized string discipline comprises a particular worth and a numeric discipline is inside a variety:

aws datazone search-listings 
    --domain-identifier "dzd_your_domain_id" 
    --filters '{ "and": [
        { "filter": { "attribute": "research_metadata.TherapeuticArea", "value": "Oncology", "operator": "TEXT_SEARCH" } },
        { "filter": { "attribute": "research_metadata.SubjectCount", "intValue": 100, "operator": "GT" } }
    ] }'

For extra particulars, see the SearchListings API documentation within the Amazon DataZone API Reference.

Finest practices

Think about the next finest practices when utilizing customized metadata search filters:

Outline your metadata varieties earlier than publishing property at scale. In the event you publish property earlier than the varieties are finalized, you would possibly must re-tag present property, which is a time-consuming course of in massive catalogs.
Outline metadata varieties aligned along with your group’s discovery wants (therapeutic areas, knowledge classifications, geographic areas) earlier than publishing property at scale.
Use particular, constant values in metadata fields to get exact filter outcomes. For instance, use standardized values (for instance, use “Oncology” persistently reasonably than “oncology” or “Onc”) throughout all property.
Mix a number of filters to slender outcomes effectively reasonably than scanning by means of broad consequence units.
Use the date vary filter alongside customized metadata filters to find property inside particular time home windows.

Clear up sources

For directions on deleting the added property, see Delete an Amazon SageMaker Unified Studio asset.

For directions on deleting the metadata varieties, see Delete a metadata kind in Amazon SageMaker Unified Studio.

Conclusion

Customized metadata search filters in Amazon SageMaker Unified Studio give knowledge customers the power to seek out precise property utilizing structured filters based mostly on their group’s personal metadata fields. By combining a number of filters throughout customized metadata varieties, asset names, descriptions, and date ranges, knowledge customers can assemble exact queries that floor the fitting datasets with out scanning by means of broad search outcomes. Filter persistence throughout browser classes additional streamlines repeated discovery workflows.

Customized metadata search filters at the moment are out there in AWS Areas the place Amazon SageMaker is supported.

To study extra about Amazon SageMaker, see the Amazon SageMaker documentation. To get began with this functionality, discuss with the Amazon SageMaker Unified Studio Consumer Information.

In regards to the authors

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