Design Your Data Model
Follow a Best-Practices Methodology to Create an IoT Data Model
Guide Concept
This project will introduce the process of taking your IoT solution from concept to design.
Following the steps in this guide, you will create a solution that doesn’t need to be constantly revamped, by creating a comprehensive Data Model before starting to build and test your solution.
We will teach you how to utilize a few proposed best practices for designing the ThingWorx Data Model and provide some prescriptive methods to help you generate a high-quality framework that meets your business needs.
Guide Info
| Type | Tutorial |
| Level | Intermediate |
| Est. Time | 60 Minutes |
| Published | March 21, 2019 |
| Author | Jason Wyatt |
You'll learn how to
- Create user stories
- Identify endpoints in your system
- Break down your Data Model using an Entity Relationship Diagram
- Decide when to use Thing Templates vs Thing Shapes vs directly-instantiated Things
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:
DESIGN YOUR DATA MODEL
Outline
- Step 1: Data Model Methodology
- Step 2: User Stories
- Step 3: Data Sources - Thing List
- Step 4: Data Sources - Component Breakout
- Step 5: Data Sources - Thing-Component Matrix
- Step 6: Model Breakdown
- Step 7: Prioritize
- Step 8: Largest Group
- Step 9: Iterate
- Step 10: Validate
- Step 11: Conclusion