When using a serverless query service, what is one way to visualize the analyzed data?

Using QuickSight for dashboards is a highly effective way to visualize analyzed data when working with a serverless query service. Amazon QuickSight is a business intelligence tool that allows users to create interactive dashboards and visualizations from various data sources, including those processed by serverless services like AWS Athena or AWS Redshift Spectrum. By leveraging QuickSight, users can derive insightful visual representations, allowing for better data interpretation, sharing of insights, and decision-making processes.

The integration between serverless query services and QuickSight facilitates seamless analysis and reporting. QuickSight can automatically fetch and visualize the queried data in different formats such as charts, graphs, and tables, enhancing user experience and engagement with the data. This capability significantly reduces the time and effort needed to create visualizations manually, providing an efficient solution for those working with large datasets in cloud environments.

Other options do not directly pertain to effective visualization methods for analyzed data from serverless query services. While deploying EC2 instances might involve setting up a more traditional workflow, it does not inherently provide visualization tools. Creating flow charts in Excel does allow for some data representation, but it is not best suited for the dynamic data analysis capabilities enabled by serverless architecture. Similarly, running scripts on local machines may be part of data processing