AWS Big Data Blog

Category: Amazon QuickSight

Unifying data insights with Amazon QuickSight and Amazon SageMaker

Amazon SageMaker has announced an integration with Amazon QuickSight, bringing together data in SageMaker seamlessly with QuickSight capabilities like interactive dashboards, pixel perfect reports and generative business intelligence (BI)—all in a governed and automated manner. In this post, we walk through the complete process of integrating Amazon QuickSight with Amazon SageMaker Unified Studio, demonstrating how teams can move from raw data to published dashboards in a secure and governed environment.

Perform per-project cost allocation in Amazon SageMaker Unified Studio

Amazon SageMaker Unified Studio enables per-project cost allocation through resource tagging, allowing organizations to track and manage costs across different projects and domains effectively. This post demonstrates how to implement cost tracking using AWS Billing and Cost Management tools, including Cost Explorer and Data Exports, to help finance and business analysts follow FinOps best practices for controlling cloud infrastructure costs.

Build a multi-Region analytics solution with Amazon Redshift, Amazon S3, and Amazon QuickSight

This post explores how to effectively architect a solution that addresses this specific challenge: enabling comprehensive analytics capabilities for global teams while making sure that your data remains in the AWS Regions required by your compliance framework. We use a variety of AWS services, including Amazon Redshift, Amazon Simple Storage Service (Amazon S3), and Amazon QuickSight.

Automate replication of row-level security from AWS Lake Formation to Amazon QuickSight

This post outlines a solution to automatically replicate the entitlements for readers from the source (AWS Lake Formation) to Amazon QuickSight. This solution can be used even when the authentication method in Amazon QuickSight is not using IAM Identity Center and can work with both direct query and SPICE datasets in Amazon QuickSight.

How BMW Group built a serverless terabyte-scale data transformation architecture with dbt and Amazon Athena

At the BMW Group, our Cloud Efficiency Analytics (CLEA) team has developed a FinOps solution to optimize costs across over 10,000 cloud accounts This post explores our journey, from the initial challenges to our current architecture, and details the steps we took to achieve a highly efficient, serverless data transformation setup.

How ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes

ANZ Institutional Division has transformed its data management approach by implementing a federated data platform based on data mesh principles. This shift aims to unlock untapped data potential, improve operational efficiency, and increase agility. The new strategy empowers domain teams to create and manage their own data products, treating data as a valuable asset rather than a byproduct. This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division.

Analyze Amazon EMR on Amazon EC2 cluster usage with Amazon Athena and Amazon QuickSight

In this post, we guide you through deploying a comprehensive solution in your Amazon Web Services (AWS) environment to analyze Amazon EMR on EC2 cluster usage. By using this solution, you will gain a deep understanding of resource consumption and associated costs of individual applications running on your EMR cluster.

Set up cross-account AWS Glue Data Catalog access using AWS Lake Formation and AWS IAM Identity Center with Amazon Redshift and Amazon QuickSight

In this post, we cover how to enable trusted identity propagation with AWS IAM Identity Center, Amazon Redshift, and AWS Lake Formation residing on separate AWS accounts and set up cross-account sharing of an S3 data lake for enterprise identities using AWS Lake Formation to enable analytics using Amazon Redshift. Then we use Amazon QuickSight to build insights using Redshift tables as our data source.

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Building a scalable streaming data platform that enables real-time and batch analytics of electric vehicles on AWS

The automobile industry has undergone a remarkable transformation because of the increasing adoption of electric vehicles (EVs). EVs, known for their sustainability and eco-friendliness, are paving the way for a new era in transportation. As environmental concerns and the push for greener technologies have gained momentum, the adoption of EVs has surged, promising to reshape […]

Simplify data lake access control for your enterprise users with trusted identity propagation in AWS IAM Identity Center, AWS Lake Formation, and Amazon S3 Access Grants

Many organizations use external identity providers (IdPs) such as Okta or Microsoft Azure Active Directory to manage their enterprise user identities. These users interact with and run analytical queries across AWS analytics services. To enable them to use the AWS services, their identities from the external IdP are mapped to AWS Identity and Access Management […]