Amazon Quick introduces Live Data in Apps, enabling AI-built applications to query governed QuickSight datasets in real time with automatic row-level and column-level security enforcement.

Amazon QuickSight now supports hierarchy filters that enable guided drill-down through related dimensions like Region, Country, and City in a single control.

Amazon QuickSight introduces a hierarchy filter that consolidates multi-level filtering into a single compact control, enabling guided drill-down exploration across related dimensions like geography.

In this post, we share how Maryland Benefits transformed its data analytics capabilities by implementing Amazon Quick Sight, resulting in significant improvements in reporting efficiency, decision-making speed, and cost optimization across our organization.

Build a serverless expense tracker on AWS using API Gateway, Lambda, and DynamoDB, then turn the collected data into meaningful insights with Amazon QuickSight. A practical example of how AWS services can work together to build scalable, data-driven applications.

Datacor integrated Amazon QuickSight into TrackAbout to enable self-service rental analytics for gas and welding distributors, replacing manual IT-dependent reporting with interactive dashboards and natural language querying.

Learn how to embed individual Amazon Quick Sight visuals into a React application with per-user access control. This walkthrough uses Amazon Cognito authentication and a serverless AWS Lambda backend to generate scoped embed URLs, deployed with a single AWS CloudFormation stack.

Amazon Connect Customer now provides routing step data in the analytics data lake, making it easier for customers to generate insights from routing decisions. Using the data lake, customers can leverage Amazon Athena and Amazon Quick to analyze trends, such as contacts queued and contacts joined at each routing step, without complex data pipelines. For example, an analyst can now report on how contacts progressed through each routing step, identify where agent matching criteria were relaxed, and measure the impact of routing step configurations on wait times and agent utilization. Routing step data is available in all AWS regions where Amazon Connect Customer data lake is offered. To learn more about Amazon Connect Customer data lake, see the Amazon Connect Customer Administrator Guide.  To learn more about Amazon Connect Customer, visit the Amazon Connect Customer website.

Amazon Connect now provides routing step data in its analytics data lake, enabling customers to analyze routing decisions and contact flow trends using Athena and QuickSight.

Understanding IAM roles, policies, and permissions is essential for building secure data pipelines on AWS.

This article demonstrates how to build a serverless Git metrics dashboard using AWS services to automatically collect development activity from GitHub and GitLab and visualize it with Amazon QuickSight.

In Part 3 of this no-code ML series, you bring fraud detection predictions to life. Import your Amazon SageMaker Canvas predictions into Amazon Quick Sight, build interactive dashboards, use generative BI to answer questions in natural language, and publish AI-generated executive summaries for stakeholders.

Build a real-world AWS Data Analytics Pipeline using Amazon S3, AWS Glue, Amazon Redshift, and Amazon QuickSight. Learn how to ingest raw CSV sales data, transform it with Glue, store it in Redshift, and create an interactive dashboard to analyze total sales, categories, regions, and trends.

Discover how AWS combines serverless BI and agentic AI to transform raw data into instant, automated business decisions.

This article presents four architectural patterns to automate custom permissions assignment for Amazon QuickSight users at different lifecycle stages, from pre-registration through retroactive batch updates.

A practical look at designing a serverless data analytics pipeline on AWS, from data ingestion and storage to querying and visualization.

A quick recap of my experience at AWS Summit São Paulo 2026, highlighting key takeaways on agentic AI, specification-driven development with AWS Kiro, and modern BI with Amazon QuickSight.

This article demonstrates how to embed individual Amazon QuickSight visuals into React applications using Cognito user authentication with automatic user provisioning and role-based access control.

Have you guys seen the news about AWS Quick? It's completely shaking up the cloud automation world.