AWS IoT Analytics
AWS IoT Analytics User Guide

Visualizing AWS IoT Analytics Data

Visualizing AWS IoT Analytics Data with QuickSight

AWS IoT Analytics provides direct integration with Amazon QuickSight. Amazon QuickSight is a fast business analytics service you can use to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. Amazon QuickSight enables organizations to scale to hundreds of thousands of users, and delivers responsive performance by using a robust in-memory engine (SPICE). You can select your AWS IoT Analytics data sets in the QuickSight console and start creating dashboards and visualizations.

To get started with your QuickSight visualizations, you must create a QuickSight account. Make sure you give QuickSight access to your AWS IoT Analytics data when you set up your account. If you already have an account, give QuickSight access to your AWS IoT Analytics data by choosing Admin, Manage QuickSight, Account Settings. Choose Edit AWS Permissions, and then select Amazon IoT Analytics.

After your account is set up, from the main QuickSight console page choose New Analysis and New data set, and then select AWS IoT Analytics as the source. Type a name for your data source, select a data set to import, and then choose Create data source.

After your data source is created, you can create visualizations in QuickSight:

For information about QuickSight dashboards and data sets, see the QuickSight documentation.

Visualizing AWS IoT Analytics Data with the Console

AWS IoT Analytics can embed the HTML portion of your Jupyter notebooks on the container data set content page of the AWS IoT Analytics console . For example, if you define a container data set that runs a Jupyter notebook, and you create a visualization in your Jupyter notebook:

then, after the contents of the container data set are created, you are able view this visualization on the console's Data Set content page:

For information about creating a container data set that runs a Jupyter notebook, see Automating Your Workflow.