Author: Andres Castro

At QuickSight, we are excited to introduce Import Visuals, a powerful new productivity feature that allows authors to seamlessly import visuals from existing dashboards or analyses they have access to, into another analysis, streamlining the dashboard and report creation process and enhancing collaboration. The Import Visuals functionality identifies and brings over all associated dependencies, such as datasets, parameters, calculated fields, filter definitions, and visual properties, including conditional formatting rules from a source dashboard. At the destination, the feature resolves conflicts, eliminates duplicates, rescopes filter definitions, and adjusts the visuals to match different sheet types and layouts while respecting the destination theme. Imported visuals are forked from the source, meaning they are no longer linked to the original.

In this post, we show how to use AWS CloudFormation to deploy all the necessary resources to automate the retry of the ingestion of a failed dataset refresh. This can help speed up the time to have the data available to the users by either completing the refresh successfully or providing more information on the cause of the failure to the dataset owner. Additionally, QuickSight assets can be monitored using Amazon CloudWatch metrics. QuickSight developers and administrators can use these metrics to observe and respond to the availability and performance of their QuickSight ecosystem in near-real time.