---
schema_version: "1"
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title: Set Up Your Data in SageMaker
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/data/264-0-0/c360_a_set_up_your_data.md
canonical_url: https://help.salesforce.com/s/articleView?id=data.c360_a_set_up_your_data.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: b60d0b67048a2d4019f15c33f6dd32a47d04162ffe30dbb90d1575c6d4068b83
description: Access Salesforce data from an Amazon SageMaker notebook using the Data 360 Python connector. The intuitive interface lets you quickly execute run queries and extract the data that you need.
products:
  - Data 360
release: "264"
---
# Set Up Your Data in SageMaker

Access Salesforce data from an Amazon SageMaker notebook using the Data 360 Python connector. The intuitive interface lets you quickly execute run queries and extract the data that you need.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: <strong>All Editions</strong> supported by Data 360. See <a href="https://help.salesforce.com/s/articleView?id=data.c360_a_dc_editions.htm&amp;language=en_US" target="_blank">Data 360 edition availability</a>.</td></tr></tbody></table>

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small permission">
        <colgroup>
          <col style="width:50%">
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        <thead class="slds-text-title_caps ">
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            <th scope="colgroup" class="slds-cell-wrap" colspan="2" style="text-align:center;vertical-align:top;" id="d202854e62">USER PERMISSIONS
              NEEDED</th>
          </tr>
        </thead>
        <tbody>
          <tr class="">
            <td data-label="USER PERMISSIONS NEEDED" class="slds-cell-wrap" style="vertical-align:top;" headers="d202854e62 ">Allow users to manage models in AI Models</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d202854e62 ">Enables you to create, update, and delete models in AI Models.</td>

          </tr>
        </tbody>
      </table> <table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small permission">
        <colgroup>
          <col style="width:50%">
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        </colgroup>
        <thead class="slds-text-title_caps ">
          <tr class="">
            <th scope="colgroup" class="slds-cell-wrap" colspan="2" style="text-align:center;vertical-align:top;" id="d202854e92">PERMISSION SETS </th>
          </tr>
        </thead>
        <tbody>
          <tr class="">
            <td data-label="PERMISSION SETS" class="slds-cell-wrap" style="vertical-align:top;" headers="d202854e92 ">Data Cloud Architect</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d202854e92 ">Admin-level access to all AI Models features, including the ability to create,
              update, delete, and activate models.</td>

          </tr>
          <tr class="">
            <td data-label="PERMISSION SETS" class="slds-cell-wrap" style="vertical-align:top;" headers="d202854e92 ">Data Cloud User</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d202854e92 ">Restricted access to use a model, including getting predictions and
              improvements derived from a model.</td>

          </tr>
        </tbody>
      </table>

1. ![Important](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-data-data_cloud-264-0-0-production-enus/f3569962-3c9b-4f83-9d0c-b6a574e785da/images/icon_important.png)
    
    Important Creating connected apps is restricted as of Spring ‘26. You can continue to use existing connected apps during and after Spring ‘26. However, we recommend using [external client apps](https://help.salesforce.com/s/articleView?id=xcloud.external_client_apps.htm&language=en_US) instead. If you must continue creating connected apps, contact Salesforce Support.
    
    See [New connected apps can no longer be created in Spring ‘26](https://help.salesforce.com/s/articleView?id=005228017&type=1&language=en_US) for more details.
    
    In your SageMaker notebook, install the Python connector. The connector enables you to access Data 360 objects and ingest Salesforce data into SageMaker.
2. As part of the Python connector configuration, create an external client app or connected app.
3. Authenticate to securely access data using one of these methods.
    - Key-based
    - JWT
4. In Data 360, connect to your Salesforce data source to query the dataset. For example, to get email engagement data, access the Email Engagement object in Marketing Cloud Engagement.
5. To use the inferences in Data 360, upload the Python file to your notebook.
6. To get the model endpoint, go to the SageMaker dashboard in the Inferences section, and go to Endpoints. Note the URL as you need these details to connect your model with Salesforce.

#### See Also

- [_Salesforce Developer_: Data 360 Python Connector](https://developer.salesforce.com/docs/data/data-cloud-query-guide/guide/get-started-dc-python.html)
- [_Salesforce Help_: Create a Connected App](https://help.salesforce.com/s/articleView?id=xcloud.connected_app_create.htm&type=5&language=en_US)