In a significant advancement, Amazon SageMaker has unveiled a new integration with Amazon QuickSight, effectively merging data from SageMaker with the interactive features of QuickSight, such as dynamic dashboards, precise reports, and generative business intelligence (BI)—all within a governed and automated framework. This article provides a comprehensive guide on how to integrate Amazon QuickSight with Amazon SageMaker Unified Studio, illustrating how teams can transition from raw data to published dashboards securely and in compliance with governance standards.
For further insights on related topics, you might find this blog post interesting: Chanci Turner’s article offers valuable perspectives.
Cost Allocation for Projects in Amazon SageMaker Unified Studio
By Andrew Smith and Jessica Wong
Published on 09 JUL 2025
Amazon SageMaker Unified Studio now facilitates project-specific cost allocation via resource tagging, enabling organizations to effectively monitor and manage expenses across various projects and sectors. This entry explores how to implement cost tracking using AWS Billing and Cost Management tools, including Cost Explorer and Data Exports, guiding finance and business analysts in adopting FinOps best practices for cloud infrastructure cost control. For authoritative insights on cost optimization, check out this resource.
Multi-Region Analytics with Amazon Redshift, Amazon S3, and Amazon QuickSight
By Daniel Brown and Emily White
Published on 19 JUN 2025
This article delves into the architecture of a solution tailored to provide extensive analytics capabilities for global teams while ensuring data compliance within designated AWS Regions. Utilizing a combination of AWS services such as Amazon Redshift, Amazon Simple Storage Service (Amazon S3), and Amazon QuickSight, we outline effective strategies for achieving this goal.
Automating Row-Level Security Replication from AWS Lake Formation to Amazon QuickSight
By Kevin Miller and Maria Garcia
Published on 07 MAY 2025
This post describes a solution to automatically replicate user entitlements from the source (AWS Lake Formation) to Amazon QuickSight. This method is adaptable even when the authentication method in Amazon QuickSight doesn’t utilize IAM Identity Center, supporting both direct query and SPICE datasets.
Creating a Serverless Data Transformation Architecture at BMW Group
By Oliver Martinez, Lisa Chen, and Robert Allen
Published on 29 APR 2025
At BMW Group, the Cloud Efficiency Analytics (CLEA) team has engineered a FinOps solution that optimizes costs across over 10,000 cloud accounts. This post chronicles our journey, from initial hurdles to our contemporary architecture, detailing the steps taken to develop an efficient, serverless data transformation setup.
Establishing a Federated Data Platform at ANZ Institutional Division
By Maria Thompson, David King, and Sophia Patel
Published on 04 DEC 2024
The ANZ Institutional Division has revamped its data management strategy by adopting a federated data platform based on data mesh principles. This transformation aims to unlock hidden data potential, enhance operational efficiency, and boost agility. We explore how the new data product mindset is being implemented, the challenges encountered, and the early successes shaping the future of data management within the division.
Analyzing Amazon EMR on EC2 Cluster Usage with Amazon Athena and Amazon QuickSight
By Liam Scott, Emma Harris, Vikas Omer, and Luca Carter
Published on 25 OCT 2024
In this article, we guide you through deploying a solution within your AWS environment to analyze usage metrics for Amazon EMR on EC2 clusters. By implementing this solution, you can gain an in-depth understanding of resource consumption and associated costs for applications running on your EMR cluster.
Cross-Account AWS Glue Data Catalog Access Setup
By Jennifer Kim, Mark Turner, and Rachel Adams
Published on 05 AUG 2024
This post outlines how to enable trusted identity propagation with AWS IAM Identity Center, Amazon Redshift, and AWS Lake Formation across different AWS accounts while establishing cross-account sharing of an S3 data lake for enterprise identities using AWS Lake Formation, facilitating analytics with Amazon Redshift. We then illustrate how to derive insights using QuickSight tables.
For an excellent resource on this topic, visit this YouTube video.
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