---
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title: Share Data with Amazon SageMaker
collection: admin
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locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/data/264-0-0/c360_a_access_data_from_redshift.md
canonical_url: https://help.salesforce.com/s/articleView?id=data.c360_a_access_data_from_redshift.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
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description: Amazon SageMaker includes AWS Glue Data Catalog Views, AWS Lake Formation, and AWS engines to run queries using Amazon Redshift, Athena, or Elastic MapReduce (EMR). Share Data 360 objects, such as data lake objects, data model objects, and calculated insights objects, with an Amazon Redshift account using a data share.
products:
  - Data 360
release: "264"
---
# Share Data with Amazon SageMaker

Amazon SageMaker includes AWS Glue Data Catalog Views, AWS Lake Formation, and AWS engines to run queries using Amazon Redshift, Athena, or Elastic MapReduce (EMR). Share Data 360 objects, such as data lake objects, data model objects, and calculated insights objects, with an Amazon Redshift account using a data share.

- Some of the required steps and links are external to Salesforce content. Salesforce doesn’t maintain these links.
- Review the prerequisites in [Harness Zero Copy Data Sharing from Salesforce Data Cloud to Amazon Redshift for Unified Analytics – Part 1](https://aws.amazon.com/blogs/big-data/harness-zero-copy-data-sharing-from-salesforce-data-cloud-to-amazon-redshift-for-unified-analytics-part-1/).

Sharing data with Amazon SageMaker allows you to access Salesforce Data 360 objects from Amazon Redshift, Athena, or EMR using Athena and Redshift SQL dialects. Link the data share to an Amazon SageMaker data share target to make the Data 360 objects available to the Amazon Redshift account. You can then query live, harmonized, and unified data from Amazon Redshift.

1. Identify the Data 360 objects that you want to access, and create a data share in Data 360. See [Create a Data Share](https://help.salesforce.com/s/articleView?id=data.c360_a_create_data_shares.htm&release=264.0.0&type=5 "Select the Data 360 objects that you want to include in a data share to share with an external system.").
2. Create a data share target in Data 360 to establish connectivity with an Amazon Redshift account. See [Create a Data Share Target to Connect with Amazon SageMaker](https://help.salesforce.com/s/articleView?id=data.c360_a_create_data_share_target_redshift.htm&release=264.0.0&type=5 "To establish connectivity with an Amazon Redshift account, create an Amazon SageMaker data share target in Data 360.").
3. Link the data share with the data share target to make Data 360 objects accessible in Amazon Redshift. See [Link or Unlink Data Shares and Data Share Targets](https://help.salesforce.com/s/articleView?id=data.c360_a_link_data_shares_with_data_share_target.htm&release=264.0.0&type=5 "Link data shares with a data share target to make them available to an external system. You can also unlink a data share from a data share target.").
    
    Once you link the data share and the data share target, it is available in AWS.
4. In the customer AWS account, on the Lake Formation console, accept the data share, create the resource link to the target region, mount Salesforce Data 360 objects as data catalog views, and grant permissions to query the live and unified data in Amazon Redshift. See [Harness Zero Copy Data Sharing from Salesforce Data Cloud to Amazon Redshift for Unified Analytics – Part 1](https://aws.amazon.com/blogs/big-data/harness-zero-copy-data-sharing-from-salesforce-data-cloud-to-amazon-redshift-for-unified-analytics-part-1/).

Data 360 supports data sharing in the same region for both Amazon Redshift Serverless and provisioned RA3 clusters. To access shared objects across regions, provision Amazon Redshift Serverless in the same region as Data 360. Provisioned RA3 clusters don't support accessing shared objects across regions. See [Harness Zero Copy Data Sharing from Salesforce Data Cloud to Amazon Redshift for Unified Analytics – Part 2](https://aws.amazon.com/blogs/big-data/harness-zero-copy-data-sharing-from-salesforce-data-cloud-to-amazon-redshift-for-unified-analytics-part-2/).

- **[Create a Data Share Target to Connect with Amazon SageMaker](https://help.salesforce.com/s/articleView?id=data.c360_a_create_data_share_target_redshift.htm&release=264.0.0&type=5)**  
    To establish connectivity with an Amazon Redshift account, create an Amazon SageMaker data share target in Data 360.
- **[Supported Regions for Amazon Redshift Integration](https://help.salesforce.com/s/articleView?id=data.c360_a_data_shares_aws_supportability_redshift.htm&release=264.0.0&type=5)**  
    Data Cloud supports same-region and cross-region data sharing.

#### See Also

- [_Salesforce Help_: Private Connect for Data 360](https://help.salesforce.com/s/articleView?id=data.c360_a_private_connect_data_cloud.htm&release=264.0.0&type=5 "Private Connect uses Amazon Web Services (AWS) PrivateLink to establish a point-to-point network integration between your AWS virtual private cloud (VPC) and your Data 360 tenant. Private Connect provides a connection from Data 360 to your data source without exposing your network traffic to the public internet.")