---
title: SageMaker Hub
description: Datadog, the leading service for cloud-scale monitoring.
breadcrumbs: Docs > DDSQL Reference > Data Directory > SageMaker Hub
---

# SageMaker Hub

SageMaker Hub in AWS is a centralized repository that allows organizations to discover, share, and manage machine learning resources such as models, notebooks, and solutions. It helps teams collaborate by providing a governed environment where ML assets can be reused across projects, improving productivity and consistency in machine learning workflows.

```
aws.sagemaker_hub
```

## Fields

| Title               | ID   | Type          | Data Type                                           | Description |
| ------------------- | ---- | ------------- | --------------------------------------------------- | ----------- |
| _key                | core | string        |
| account_id          | core | string        |
| creation_time       | core | timestamp     | The date and time that the hub was created.         |
| failure_reason      | core | string        | The failure reason if importing hub content failed. |
| hub_arn             | core | string        | The Amazon Resource Name (ARN) of the hub.          |
| hub_description     | core | string        | A description of the hub.                           |
| hub_display_name    | core | string        | The display name of the hub.                        |
| hub_name            | core | string        | The name of the hub.                                |
| hub_search_keywords | core | array<string> | The searchable keywords for the hub.                |
| hub_status          | core | string        | The status of the hub.                              |
| last_modified_time  | core | timestamp     | The date and time that the hub was last modified.   |
| s3_storage_config   | core | json          | The Amazon S3 storage configuration for the hub.    |
| tags                | core | hstore_csv    |