Typical Amazon QuickSight workflow
When you create an analysis, the typical workflow is as follows:
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Connect to a data source, and then create a new dataset or choose an existing dataset.
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(Optional) If you created a new dataset, prepare the data (for example, by changing field names or data types).
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Create a new analysis.
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Add a visual to the analysis by choosing the fields to visualize. Choose a specific visual type, or use AutoGraph and let Amazon QuickSight choose the most appropriate visual type, based on the number and data types of the fields that you select.
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(Optional) Modify the visual to meet your requirements (for example, by adding a filter or changing the visual type).
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(Optional) Add more visuals to the analysis.
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(Optional) Add scenes to the default story to provide a narrative about some aspect of the analysis data.
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(Optional) Publish the analysis as a dashboard to share insights with other users.
It’s interesting to see how Amazon is trying to move this functionality from third-party tools (Power BI, Tableau, etc.) and notebooks right into the set of AWS offerings. Contrast this with the way that Microsoft is building in Jupyter with Azure Notebooks.