Category: Technical How-to

In this post, we demonstrate how to use Amazon Q in QuickSight to obtain immediate, data-driven insights during business meetings by asking questions in natural language and receiving real-time, multi-visual answers. The solution enables teams to explore data conversationally through the built-in Product Sales topic, making analytics more accessible and actionable without requiring technical expertise or dashboard creation.

In this post, we demonstrate how to enable and configure Google Sheets as a new data source in Amazon QuickSight, including the required AWS Secrets Manager Write permissions setup and OAuth authentication process. Learn how to securely connect QuickSight to Google Sheets data, allowing you to transform spreadsheet data into powerful analytics and visualizations using QuickSight’s business intelligence capabilities.

In part 3 of this post series, we explore API-driven BIOps strategies in QuickSight, focusing on cross-account and multi-environment asset deployment, conflict detection and resolution during dataset updates, and permission management across different environments.

In part 2 of this post series, we explore how to implement API-driven business intelligence operations (BIOps) framework in Amazon QuickSight to reduce manual workload and improve lifecycle management.

In part 1 of this post series, we demonstrate how to implement BIOps using the no-code console features of Amazon QuickSight, showing how to version dashboards, reuse visuals, collaborate in parallel, and safely deploy updates through the QuickSight UI.

In this post, we explore how to implement authentication and authorization requirements for Amazon QuickSight embedded web applications, focusing on various approaches for business intelligence delivery. We specifically address the use case of an enterprise with a central access management process, showing how QuickSight can be securely integrated into internal-facing applications.

This post offers a solution for monitoring and analyzing QuickSight datasets by providing valuable insights for efficient QuickSight usage and maintenance using a custom QuickSight dashboard. The solution provides a comprehensive view of SPICE ingestion status and type, SPICE usage metrics along with total capacity limit for the account, dataset relationships with dashboards, analyses, and linked data sources along with dataset query mode.

In this post, we show how to seamlessly integrate Amazon CloudWatch logs with QuickSight using the Amazon Athena connector. With this integration, you can use your CloudWatch logs directly within the intuitive and feature-rich QuickSight environment, thereby unlocking deeper insights and streamlined workflows.

In this post, we show you how to use Amazon QuickSight to create a centralized dashboard that provides comprehensive visibility into API throttling across your organization. By aggregating throttling data from different accounts and Regions, you can easily assess the impact and improve your response strategies.

In this post, we present a secure solution for delivering Amazon S3 backed content to QuickSight dashboards using public URLs, eliminating the vulnerabilities inherent in public S3 buckets. Specifically, we demonstrate how to use Amazon CloudFront with your private S3 buckets to deliver content to QuickSight. This approach allows organizations to maintain strict security controls while creating visually compelling dashboards that align with their design guidelines and effectively communicate data-driven insights.