ArcGIS Analytics for IoT

What’s new in ArcGIS Analytics for IoT (August 2020)

ArcGIS Analytics for IoT allows organizations to ingest, visualize, analyze, and act on data from sensors. It also enables the processing of high-volume historical data to gain insights into patterns, trends, and anomalies. Remote monitoring of assets, predictive maintenance, and process optimization are a few of the benefits you can gain from your IoT data.

ArcGIS Analytics for IoT is updated regularly, below is a quick overview of some highlights in the August 2020 release:

Now, let’s take a deeper dive into each of these exciting new enhancements!

Feeds and data sources

A feed is a real-time stream of data coming into ArcGIS while a data source loads stored data for use in a real-time or big data analytic. Integrating with popular data and messaging platforms is one of the key capabilities of Analytics for IoT.

With this release, XML is now supported as an input data format for the following feed and data source types:

In addition, a new data source was added that allows you to load data from Azure Cosmos DB.

Outputs

An output is a result or action to be taken as the final step in a real-time or big data analytic. Analytics can emit data to a variety of different destinations, including storing data to a feature layer, sending an email, writing to a cloud store, and pushing to a third-party system for device actuation.

A new output type at this release allows you to push data to an HTTP endpoint as the result of a real-time or big data analytic. In addition, the Feature Layer output now supports editor tracking. Your incoming data can now automatically be captured with creation date, last edited date, and the creator and editor user details. The creator and editor username can come from incoming fields in your data, or be automatically populated as the user who is running the analytic.

Analytics

The power of Analytics for IoT can be realized in the real-time and big data analytic capabilities that can be performed on your IoT data. With this release several new features and enhancements are available including:

And more…

In addition to the existing options for visualizing your IoT data, new rendering capabilities were added for output map image layers. When rendering raw features, manual class breaks can now be set to vary feature symbol colors based on values from an attribute.

And lastly, administrators of an organization can now share Analytics for IoT user created items with designated groups.

For a complete list with more details, check out the what’s new topic in the documentation.

To learn more about Analytics for IoT, peruse the available resources to access product videos, quick lessons, documentation, and more!

About the author

Greg is a product engineer on the real-time visualization and analytics team at Esri. He supports community engagement for on-premises, cloud, and hosted solutions.

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