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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

xlplus) with at least two nodes, or Redshift Serverless Encrypted (if using a provisioned cluster) For this post, we create and configure a Redshift Serverless workgroup and namespace as the target data warehouse, following these steps: On the Amazon Redshift console, choose Serverless dashboard in the navigation pane.

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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

You can perform real-time transaction processing on data in Aurora while simultaneously using Amazon Redshift for analytics workloads such as reporting and dashboards. The company’s business analysts want to generate metrics to identify ticket movement over time, success rates for sellers, and the best-selling events, venues, and seasons.

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Unlock insights on Amazon RDS for MySQL data with zero-ETL integration to Amazon Redshift

AWS Big Data

You can continue with your transaction processing on Amazon RDS or Amazon Aurora while simultaneously using Amazon Redshift for analytics workloads such as reporting and dashboards. They would like to get these metrics in near real time using a zero-ETL integration. The following diagram illustrates this architecture.