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This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities.
Amazon Redshift is a recommended service for onlineanalyticalprocessing (OLAP) workloads such as cloud data warehouses, data marts, and other analyticaldata stores. Redshift Serverless measuresdata warehouse capacity in Redshift Processing Units (RPUs).
Nonetheless, many of the same customers using DynamoDB would also like to be able to perform aggregations and ad hoc queries against their data to measure important KPIs that are pertinent to their business. A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis.
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