Author: Nidhi Nayak

In this post, we provide a guide to help you use Tableau’s Relationships and Amazon Redshift Serverless architecture to deliver sub-second insights while maximizing every Redshift Processing Unit (RPU). We also provide guidance on five key areas: data model architecture for optimal query performance, security configuration and access control, performance optimization through smart configuration, cost management strategies, and query and join optimization techniques.

Starting June 8, 2026, Amazon Redshift is introducing an incremental snapshot billing model for Amazon Redshift Serverless and Amazon Redshift RG (provisioned instances powered by AWS Graviton). With this enhancement, you pay only for the unique data blocks across your active manual snapshots within your account. This delivers significant cost savings for customers who have multiple snapshots that contain largely identical data blocks. In this post, you will learn how the new incremental snapshot billing model works, the customer use cases it addresses, and how it helps you optimize costs while improving your Recovery Point Objective (RPO).

In this post, we introduce Redshift Templates and show examples of how they can standardize and simplify your data loading operations across different scenarios. By encapsulating common COPY command parameters into reusable database objects, templates help remove repetitive parameter specifications, facilitate consistency across teams, and centralize maintenance.