Category: Learning Levels

This blog post demonstrates how to combine filters with calculated fields for precise data segmentation, control visual displays based on context, implement parameter-based navigation across dashboards, and integrate the Quick Suite chat agent for natural language querying.

One of the key components in Quick Sight is SPICE (Super-fast, Parallel, In-memory Calculations Engine). This fully managed and highly available query acceleration engine is designed to provide fast responses to queries originating within analyses, dashboards, pixel-perfect reports, data exports, and for questions asked using natural language. In this post, we explain how to use the refresh APIs from the AWS Command Line Interface (AWS CLI) and explore relevant use cases.

In this post, BMW Group demonstrates how they evolved their Cloud Data Hub beyond breaking down data silos to tackle knowledge silos by making Amazon Quick Sight dashboards discoverable and shareable as data products within their centralized platform. The initiative resulted in a remarkable 197.9% growth in Quick Sight adoption among CDH users within just one year, showcasing how transforming accessible data into actionable visual intelligence can drive decisions across all organizational levels.

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 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.

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.

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.

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 are thrilled to feature David Wong, one of our top Amazon QuickSight Community Experts for 2024.