Exploring AWS IoT Analytics data

PDFRSS

You have several options for storing, analyzing and visualizing your AWS IoT Analytics data.

Amazon S3

You can send dataset contents to an Amazon Simple Storage Service (Amazon S3) bucket, enabling integration with your existing data lakes or access from in-house applications and visualization tools. See the field contentDeliveryRules::destination::s3DestinationConfiguration in CreateDataset.

AWS IoT Events

You can send dataset contents as an input to AWS IoT Events, a service which enables you to monitor devices or processes for failures or changes in operation, and to trigger additional actions when such events occur.

To do this, create a dataset using CreateDataset and specify an AWS IoT Events input in the field contentDeliveryRules :: destination :: iotEventsDestinationConfiguration :: inputName. You must also specify the roleArn of a role which grants AWS IoT Analytics permission to execute "iotevents:BatchPutMessage". Whenever the dataset's contents are created, AWS IoT Analytics will send each dataset content entry as a message to the specified AWS IoT Events input. For example, if your dataset contains:

"what","who","dt"
"overflow","sensor01","2019-09-16 09:04:00.000"
"overflow","sensor02","2019-09-16 09:07:00.000"
"underflow","sensor01","2019-09-16 11:09:00.000"
...

then AWS IoT Analytics will send messages containing fields like this:

{ "what": "overflow", "who": "sensor01", "dt": "2019-09-16 09:04:00.000" }

{ "what": "overflow", "who": "sensor02", "dt": "2019-09-16 09:07:00.000" }

and you will want to create an AWS IoT Events input that recognized the fields you are interested in (one or more of what, who, dt) and to create an AWS IoT Events detector model that uses these input fields in events to trigger actions or set internal variables.

Amazon 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). Amazon QuickSight is available in these regions.

Jupyter Notebook

AWS IoT Analytics datasets can also be directly consumed by Jupyter Notebook in order to perform advanced analytics and data exploration. Jupyter Notebook is an open source solution. You can install and download from http://jupyter.org/install.html. Additional integration with SageMaker AI, an Amazon hosted notebook solution, is also available.