AWS Business Intelligence Blog
Category: Technical How-to
Integrate Amazon CloudWatch Logs with Amazon QuickSight using Amazon Athena
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.
Enhance API throttling visibility with Amazon QuickSight
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.
Integrate private Amazon S3 hosted images with Amazon QuickSight dashboards
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.
Enhance your analytics embedding experience with generative BI capabilities
In this post, we demonstrate the new console and dashboard embedding features available in Amazon QuickSight, using Amazon Q.
Optimize your Amazon QuickSight implementation: a guide to usage analytics and cost management
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.
Monitor and optimize your Amazon Bedrock usage with Amazon Athena and Amazon QuickSight
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.
Visualize AWS Network Firewall logs with Amazon QuickSight dashboards
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.
Federate Amazon QuickSight access with OneLogin
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.
Integrate unstructured data into Amazon QuickSight using Amazon Q Business
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.
Enhance data governance through column-level lineage in Amazon QuickSight
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.