In this section, we will use QuickSight to perform data visualization.
Data source refers to an external data storage that you need to configure for accessing data in this external data repository, for example, Amazon S3, Amazon Athena, Salesforce, etc.
Dataset identifies the specific data within a Data source that you want to use. For example, the Data source can be a table if you’re connecting to a database Data source. It could be a file if you’re connecting to an Amazon S3 Data source. Dataset also stores any data preparation process you’ve performed on the data, such as renaming a field or changing its data type. Storing this preparation means you don’t have to redo the data every time you want to create an Analysis based on it.
Analysis is where a collection of Visuals and related stories are contained, for instance, all the stories applicable to a specific business goal or KPI. You can use multiple Datasets in one analysis, although any specific Visual can only use one of those Datasets.
Visual is a graphical representation of your data. You can create different types of Visuals in an analysis, using different datasets and types of Visuals.
Dashboard is a page comprising one or more Analyses for view-only that you can share with other Amazon QuickSight users for reporting purposes. The Dashboard retains the configuration of the Analysis at the time you publish it, including things like filters, parameters, controls, and sorting order. The data used for Analysis is not collected as part of the Dashboard. When you view the Dashboard, the page reflects the current data in the Datasets used by the Analysis.