# VectorEnrichmentJobDataSourceConfigInput
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The input structure for the data source that represents the storage type of the input data objects.

## Contents
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**Important**  
This data type is a UNION, so only one of the following members can be specified when used or returned.

 ** S3Data **   <a name="sagemaker-Type-geospatial_VectorEnrichmentJobDataSourceConfigInput-S3Data"></a>
The input structure for the Amazon S3 data that represents the Amazon S3 location of the input data objects.  
Type: [VectorEnrichmentJobS3Data](API_geospatial_VectorEnrichmentJobS3Data.md) object  
Required: No

## See Also
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For more information about using this API in one of the language-specific AWS SDKs, see the following:
+  [AWS SDK for C\+\+](https://docs.aws.amazon.com/goto/SdkForCpp/sagemaker-geospatial-2020-05-27/VectorEnrichmentJobDataSourceConfigInput) 
+  [AWS SDK for Java V2](https://docs.aws.amazon.com/goto/SdkForJavaV2/sagemaker-geospatial-2020-05-27/VectorEnrichmentJobDataSourceConfigInput) 
+  [AWS SDK for Ruby V3](https://docs.aws.amazon.com/goto/SdkForRubyV3/sagemaker-geospatial-2020-05-27/VectorEnrichmentJobDataSourceConfigInput) 

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon SageMaker. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query sagemaker` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).