# Importing AWS Data Exchange assets from an AWS Data Exchange datashare for Amazon Redshift
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When you import assets using AWS Data Exchange datashare for Amazon Redshift, you can begin querying, analyzing, and operationalizing third-party Amazon Redshift tables after subscribing.

## Importing assets from an AWS Data Exchange datashare for Amazon Redshift (AWS SDKs)
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**To import assets from an AWS Data Exchange datashare for Amazon Redshift (AWS SDKs)**

1. Create a `CreateJob` request of type `IMPORT_ASSETS_FROM_REDSHIFT_DATA_SHARES`.

1. Include the following in the request:
   + `AssetSources`
     + `DataShareArn`
   + `DataSetID`
   + `RevisionID`

1. Start the `CreateJob` request with a `StartJob` operation that requires the `JobId` returned in step 1.

1. (Optional) Poll the `GetJob` operation to wait for the job to complete.

1. (Optional) Update the assets' name property after they are created.

## Importing assets from an AWS Data Exchange datashare for Amazon Redshift (console)
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**To import an asset from an ADE datashare (for Amazon Redshift console)**

1. Open your web browser and sign in to the [AWS Data Exchange console](https://console.aws.amazon.com/dataexchange).

1. In the left side navigation pane, for **Publish data**, choose **Owned data sets**.

1. In **Owned data sets**, choose the data set that has the asset you want to update.

1. On the **Revisions** tab, choose **Create revision** to open the **Create revision** page.

   1. For **Revision settings**, provide an optional comment for your revision that describes the purpose of the revision.

   1. For **Add tags – optional**, add tags associated with the resource.

   1. Choose **Create**.

      Your new revision is created.

1. For the **AWS Data Exchange datashares for Amazon Redshift** section, choose **Add datashares**.

1. On the **Add AWS Data Exchange datashare to revision** page, select the datashare or datashares that you want to add.

1. Choose **Add datashare(s)**.

   A job is started to import your assets into your data set. After the job is finished, the **State** field in the **Jobs** section is updated to **Completed**.