Remove 2012 Remove Data Governance Remove Snapshot
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Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift

AWS Big Data

Create a role in the target account with the following permissions: { "Version":"2012-10-17", "Statement":[ { "Effect":"Allow", "Action":[ "redshift:DescribeClusters", "redshift-serverless:ListNamespaces" ], "Resource":[ "*" ] } ] } The role must have the following trust policy, which specifies the target account ID. Choose Create policy.

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Simplify external object access in Amazon Redshift using automatic mounting of the AWS Glue Data Catalog

AWS Big Data

To connect as a federated user with the Redshift provisioned cluster, you need to follow the steps in the previous section that detailed how to connect with Redshift Serverless and query the Data Catalog as a federated user using Query Editor V2 and a third-party SQL client. There are additional changes required in IAM policy.

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Simplify AWS Glue job orchestration and monitoring with Amazon MWAA

AWS Big Data

Finally, we recommend visiting the AWS Big Data Blog for other material on analytics, ML, and data governance on AWS. About the Authors Rushabh Lokhande is a Data & ML Engineer with the AWS Professional Services Analytics Practice. He helps customers implement big data, machine learning, and analytics solutions.