Original article excerpt
Server-side extracted preview paragraphs from the original source.
In this post, we cover best practices for implementing an effective backup strategy for BI assets in Quick Sight. We start by covering the options for selecting the assets to include in your backup, then explain the high-level APIs available for that purpose, and finalize with sample code to help you get started quickly.
Amazon Quick Sight is a core feature within Amazon Quick — an agentic, AI-powered digital workspace designed to maximize end-user productivity— that provides AI-powered BI capabilities through natural language queries, interactive dashboards, and embedded analytics from trusted enterprise data sources.
Amazon Quick Sight assets such as dashboards, analyses, datasets, and data sources can be backed up using the AssetsAsBundle APIs described in this post. A backup strategy helps protect against accidental deletions, unintended modifications, and regional disruptions. For teams that rely on Quick Sight to support critical business decisions, a well-designed backup plan is recommended.
This post is the first in a two-part series covering backup and restore for Amazon Quick Sight BI assets:
An effective backup strategy is especially critical for organizations in heavily regulated industries such as financial services, healthcare, and energy, for multiple reasons:
For more information about the disaster recovery capabilities of Quick, and how to assess them against organizational requirements, see the Amazon Quick disaster recovery and resiliency guide.
In this post, we cover best practices for implementing an effective backup strategy for BI assets in Quick Sight. We start by covering the options for selecting the assets to include in your backup, then explain the high-level APIs available for that purpose, and finalize with sample code to help you get started quickly.
