Data Model Introduction
Learn how the ThingWorx data model makes your IoT application flexible and scalable.
Guide Concept
This project will introduce the ThingWorx Data Model.
Following the steps in this guide, you will consider data interactions based on the user needs, specific user requirements that might need to be covered, in addition to considering modularity, reusability and future updates.
We will teach you how to think about a properly-constructed foundation, which will allow your application to be scalable, flexible, and more secure.
Guide Info
| Level | Getting Started |
| Est. Time | 30 Minutes |
| Published | Aug 20, 2020 |
| Author | Jason Wyatt |
You'll learn how to
- Utilize the function of a data model for your IoT application
- Conceptualize data model components, including Thing, Thing Shape and Thing Template
- Design ThingWorx interaction with connected devices
Things used in this guide
Environment:
This guide may be completed within any environment where you have access to the ThingWorx Foundation server.
This includes both the hosted evaluation server, as well as the downloadable trial.
Software components:
ThingWorx Foundation
Previous knowledge
Data Model Introduction
Outline
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.
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.
In This Learning Path
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Build
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Build
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