> For the complete documentation index, see [llms.txt](https://knowledgebase.fabricdata.com/insights/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://knowledgebase.fabricdata.com/insights/data-hub/data-access.md).

# Data access

The Data Hub is delivered over **S3-compatible object storage**. Depending on the agreement, the data is served from **Amazon S3** or from **DigitalOcean Spaces** (S3 technology). In both cases the client accesses with standard S3 tools (AWS SDKs, `aws s3`, `s3cmd`, libraries like boto3) — only the endpoint and the way credentials are obtained change.

{% tabs %}
{% tab title="Amazon S3 (via AWS Marketplace)" %}
The dataset is published as a **data product on AWS Marketplace**. The client subscribes from their own AWS account and gets read access, without Fabric copying anything to their infrastructure.

| Parameter           | Value                      |
| ------------------- | -------------------------- |
| Backend             | `origin-insights-prm`      |
| Region              | `us-east-2`                |
| Endpoint            | `s3.amazonaws.com`         |
| Marketplace listing | **Fabric Origin Insights** |
| Model               | *Subscription*             |

{% stepper %}
{% step %}

## Search for the product

Search for the product on AWS Marketplace: **Fabric Origin Insights** (ID `1qvtfazbvpc1jvqf93tdqqg7g`) — *confirm public listing URL.*
{% endstep %}

{% step %}

## Subscribe

Subscribe from the AWS account where the data will be consumed.
{% endstep %}

{% step %}

## Accept the terms

Accept the terms of the data agreement.
{% endstep %}

{% step %}

## Consume the data

Consume via native S3: Athena, Spark, or `aws s3` with the role granted by the subscription.
{% endstep %}
{% endstepper %}
{% endtab %}

{% tab title="DigitalOcean Spaces (S3-compatible)" %}
The data is served from a DigitalOcean **Space**. Access is via an **access key / secret** pair provided by Fabric, pointing to the Spaces regional endpoint.

<table><thead><tr><th width="308.01953125">Parameter</th><th>Value</th></tr></thead><tbody><tr><td>Backend</td><td>DigitalOcean Spaces</td></tr><tr><td>Region</td><td>Delivered by Fabric</td></tr><tr><td>Endpoint</td><td><code>https://&#x3C;region>.digitaloceanspaces.com</code></td></tr><tr><td>Space</td><td>Delivered by Fabric</td></tr><tr><td>Credentials</td><td>Delivered by Fabric</td></tr></tbody></table>

Example with AWS CLI pointing to the Spaces endpoint:

```bash
aws s3 ls s3://<space>/ \
  --endpoint-url https://<region>.digitaloceanspaces.com
```

```python
# boto3
import boto3
s3 = boto3.client(
    "s3",
    endpoint_url="https://<region>.digitaloceanspaces.com",
    aws_access_key_id="<key>",
    aws_secret_access_key="<secret>",
)
```

> Tools that expect native S3 may require configuring the S3-compatible endpoint. Most SDKs support it via the `endpoint_url` / `--endpoint-url` parameter.
> {% endtab %}
> {% endtabs %}

## Permissions and network

* Access is **read-only** over the contracted dataset's prefix.
* No need to open ports or VPN: it's native HTTPS access to the S3/Spaces endpoint.
* On Amazon S3, permissions are granted by the Marketplace subscription; on DigitalOcean Spaces, by the access keys provided by Fabric.

## Querying with Athena / Glue (Amazon S3 only)

For Amazon S3, the client can register the tables in their own **AWS Glue Data Catalog** pointing at the dataset's location and query them with Athena. (Athena doesn't query DigitalOcean Spaces directly; in that case, download or sync the files first.)

See [Structure and files](/insights/data-hub/structure-and-files.md) for paths and the DDL with JSON SerDe, and [Schemas by dataset](/insights/data-hub/schemas-by-dataset.md) for the fields.

## Support

For subscription, credentials, or access issues, see [Support and contact](/insights/support-and-contact.md).

***

> We hope you found this article helpful. If you have a question this article doesn't address, reach out on the [Service Desk](https://fabric.atlassian.net/servicedesk/customer/portal/336).


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://knowledgebase.fabricdata.com/insights/data-hub/data-access.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.