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Build a secure data visualization application using the Amazon Redshift Data API with AWS IAM Identity Center
- The Amazon Redshift Data API simplifies access to Amazon Redshift, providing better price-performance and throughput for data analytics at scale.
- The support for single sign-on and trusted identity propagation in Amazon Redshift Data API enables building secure data visualization applications with role-based access control.
- By using IAM Identity Center and trusted identity propagation, users can authenticate with corporate credentials and manage application-level access control efficiently.
- The example scenario of a global sports gear company illustrates restricting data access based on user roles and regions for data visualization.
- Components like IAM Identity Center, Okta as an external IdP, Amazon Redshift Data API, and RBAC in Amazon Redshift power the data visualization application.
- Streamlit is used to create a user-friendly interface for accessing and analyzing sales data securely based on user roles and permissions.
- The solution architecture involves a workflow where users authenticate through Okta, obtain temporary IAM session credentials, and access Amazon Redshift for data.
- The setup includes provisioning resources for IAM Identity Center, Amazon Redshift, and Okta, configuring Redshift RBAC for row-level security, and creating a Streamlit application.
- Prerequisites include an AWS account, IAM Identity Center enabled, an external IdP like Okta set up, and a Python virtual environment for development.
- The process involves creating user groups in Okta, setting up IAM Identity Center with Okta, creating and configuring Amazon Redshift IAM Identity Center connection application, and provisioning a Redshift Serverless workgroup.
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