Guide Concept

This project will introduce ThingWorx Analytics Manager.

Following the steps in this guide, you will learn how to deploy the model which you created in the earlier Builder guide.

We will teach you how to utilize this deployed model to investigate whether or not live data indicates a potential engine failure.

operationalize-data-model

Guide Info

Level Intermediate
Est. Time 60 Minutes
Published Sep 09, 2020
Author Jason Wyatt

You'll learn how to

  • Deploy and execute computational models
  • Define and trigger Analysis Events
  • Map incoming data to the Model
  • Map analytic outputs to applications
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Things used in this guide

Environment:

In order to proceed with this guide, you must first complete the Build a Predictive Analytics Model guide.

This guide may be completed in any environment where you have access to both ThingWorx Foundation and Analytics.

This includes both the hosted evaluation server, as well as a combination of both the Foundation and Analytics Server downloadable, self-hosted trials.

Software components:
Previous knowledge

This guide is part of a Learning Path. We've curated other guides relevant to this one to help you learn and get up to speed as quickly as possible.
Developer-Backend-Learning-Path-Image
7 Units
390 Minutes
Your Status: Not Started
Learning Path Overview
Design and Implement Data Models to Enable Predictive Analytics

Design and implement your data model, create logic, and operationalize an analytics model.

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