Category: Technical How-to

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.

In this post, we demonstrate the new console and dashboard embedding features available in Amazon QuickSight, using Amazon Q.

We’ve heard from customers that analyzing user activity and understanding usage patterns has been challenging. Common questions include “How many Reader Pro licenses have we added in the last 90 days?” and “What’s our actual session consumption pattern?” To address these needs, we’re excited to share a solution that makes it easier than ever to gain insights into your QuickSight usage and make data-driven decisions about your BI implementation.

In this post, we demonstrate how to use Amazon Bedrock model invocation logs to enhance the observability of model usage by using Amazon Athena for efficient log querying and Amazon QuickSight for insightful visualizations.

In this post we discuss the process of creating a comprehensive view of AWS Network Firewall logs using Amazon QuickSight. We explain the steps and resources to construct a tailored analytics dashboard within QuickSight, enabling a better understanding of network events and traffic patterns. This approach aids in identifying anomalies, threats, and network events with fine-grained insights during troubleshooting.

Many organizations use OneLogin as their identity provider (IdP) to control and manage user authentication and authorization centrally. Amazon QuickSight can integrate with OneLogin through the use of single sign-on (SSO) and SAML 2.0 authentication. With this integration, users can access QuickSight using their existing OneLogin credentials, providing a seamless and secure authentication experience. In this post, we walk you through the steps to configure federated SSO to QuickSight with OneLogin as your IdP.

In this post, we discuss how you are now able to bring unstructured data from Amazon Q Business into QuickSight Q&A to ask questions about your data and obtain relevant insights from your company documents as well as get enriched insights in data stories.

In this post, we explore how to create a simple serverless architecture using AWS Lambda, Amazon Athena, and QuickSight to establish column level lineage. Tracking column-level lineage provides a clear view of each column’s path through different parts of QuickSight, helping to optimize data processing, improve query performance, ensure accuracy, and meet regulatory requirements.

This blog post shows how data owners and business intelligence (BI) administrators can centrally manage fine-grained data permissions on Amazon Redshift tables and views and enforce them on all users in Amazon QuickSight with AWS IAM Identity Center trusted identity propagation.