Remove 2012 Remove Clustering Remove Data Warehouse
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Configure cross-account access of Amazon Redshift clusters in Amazon SageMaker Studio using VPC peering

AWS Machine Learning Blog

Amazon Redshift is a fully managed, fast, secure, and scalable cloud data warehouse. Organizations often want to use SageMaker Studio to get predictions from data stored in a data warehouse such as Amazon Redshift. On the Select trusted entity page, select Custom trust policy.

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Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

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Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. Here we use RedshiftDatasetDefinition to retrieve the dataset from the Redshift cluster. We attached the IAM role to the Redshift cluster that we created earlier.

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Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

AWS Machine Learning Blog

Create an Amazon Redshift connection Amazon Redshift is a fully managed, petabyte-scale data warehouse service that simplifies and reduces the cost of analyzing all your data using standard SQL. For Secret type , choose Credentials for Amazon Redshift cluster. Choose the Redshift cluster associated with the secrets.

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